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Bayesian Item Response Modeling (2014)
EN HC NWISBN: 9781441912121 bzw. 1441912126, in Englisch, Springer, Deutschland, gebundenes Buch, neu.
This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computing technology have made the Bayesian approach particularly useful for many response modeling problems. Free from computational constraints, realistic and state-of-the-art latent variable response models are considered for complex assessment and survey data to solve real-world problems. The Bayesian framework described provides a unified approach for modeling and inference, dealing with (nondata) prior information and information across multiple data sources. The book discusses methods for analyzing item response data and the complexrelationships commonly associated with human response behavior and features: Self-contained introduction to Bayesian item response modeling and a coverage of extending standard models to handle complex assessment data ; A thorough overview of Bayesian estimation and testing methods for item response models, where MCMC methods are emphasized ; Numerous examples that cover a wide range of application areas, including education, medicine, psychology, and sociology ; Datasets and software (S+, R, and WinBUGScode) of the models and methods presented in the book are available on www.jean-paulfox.com. Bayesian Item Response Modeling is an excellent book for research professionals, including applied statisticians, psychometricians, and social scientists who analyze item response data from a Bayesian perspective. It is a guide to the growing area of Bayesian response modeling for researchers and graduate students, and will also serve them as a good reference. Jean-Paul Fox is Associate Professor of Measurement and Data Analysis, University of Twente, The Netherlands. His main research activities are in several areas of Bayesian response modeling. Dr. Fox has published numerous articles in the areas of Bayesian item respon ...|Books|https://wordery.com/jackets/f420beb9/bayesian-item-response-modeling-jean-paul-fox-9781441907417.jpg|9781441907417|Bayesian Item Response Modeling : Hardback : Springer-Verlag New York Inc. : 9781441907417 : 05 Jun 2010 : Covering software implementations in S-plus and R, this volume serves as both a handbook for measurement specialists, as well as a textbook for ...|new|1|1|999|99.99|0|GBP|Jean-Paul Fox|Springer-Verlag New York Inc.|05 Jun 2010|Mathematical modelling 9781441908735|Emerging Space Powers|36.88|https://wordery.com/emerging-space-powers-brian-harvey-9781441908735|This work introduces the important emerging space powers of the world. Brian Harvey describes the origins of the Japanese space program, from rocket designs based on WW II German U-boats to tiny solid fuel 'pencil' rockets, which led to the launch of the first Japanese satellite in 1970. The next two chapters relate how Japan expanded its space program, developing small satellites into astronomical observatories and sending missions to the Moon, Mars, comet Halley, and asteroids. Chapter 4 describes how India's Vikram Sarabhai developed a sounding rocket program in the 1960s. The following chapter describes the expansion of the Indian space program. Chapter 6 relates how the Indian space program is looking ahead to the success of the moon probe Chandrayan, due to launch in 2008, and its first manned launching in 2014. Chapters 7, 8, and 9 demonstrate how, in Iran, communications and remote sensing drive space technology. Chapter 10 outlines Brazil's road to space, begun in the mid-1960's with the launch of the Sonda sounding rockets. The following two chapters describe Brazil's satellites and space launch systems and plans for the future. Chapters 13 and 14 study Israel's space industry. The next chapters look at the burgeoning space programs of North and South Korea. The book ends by contrasting and comparing all the space programs and speculating how they may evolve in the future. An appendix lists all launches and launch attempts to date of the emerging space powers.|Books|https://wordery.com/jackets/29752604/emerging-space-powers-brian-harvey-9781441908735.jpg|9781441908735|Emerging Space Powers : Paperback : Springer-Verlag New York Inc. : 9781441908735 : 01 Feb 2010 : This work introduces the origins and current status of the world's emerging space powers. It includes countries such as Iran and Brazil, and the programs ...|new|1|1|999|39.99|0|GBP|Brian Harvey|Springer-Verlag New York Inc.|01 Feb 2010|Aerospace & aviation technology 9781441917416|Logistic Regression|89.99|https://wordery.com/logistic-regression-david-g-kleinbaum-9781441917416|This is the third edition of this text on logistic regression methods, originally published in 1994, with its second e- tion published in 2002. As in the first two editions, each chapter contains a pres- tation of its topic in "lecture?book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture book" has a sequence of illust- tions, formulae, or summary statements in the left column of each page and a script (i. e. , text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This third edition has expanded the second edition by adding three new chapters and a modified computer appendix. We have also expanded our overview of mod- ing strategy guidelines in Chap. 6 to consider causal d- grams. The three new chapters are as follows: Chapter 8: Additional Modeling Strategy Issues Chapter 9: Assessing Goodness of Fit for Logistic Regression Chapter 10: Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves In adding these three chapters, we have moved Chaps. 8 through 13 from the second edition to follow the new chapters, so that these previous chapters have been ren- bered as Chaps. 11?16 in this third edition.|Books|https://wordery.com/jackets/91f59885/logistic-regression-david-g-kleinbaum-9781441917416.jpg|9781441917416|Logistic Regression : Hardback : Springer-Verlag New York Inc. : 9781441917416 : 01 Jun 2010 : This highly readable book describes fundamental and advanced concepts and methods of logistic regression. The 3rd edition includes three new chapters, an up ...|new|1|1|2|89.99|0|GBP|David G. Kleinbaum|Springer-Verlag New York Inc.|01 Jun 2010|Probability & statistics 9781441910431|The Physics of Proteins|119.99|https://wordery.com/the-physics-of-proteins-robert-h-austin-9781441910431|Provides an introduction to the structure and function of biomolecules --- especially proteins --- and the physical tools used to investigate them The discussion concentrates on physical tools and properties, emphasizing techniques that are contributing to new developments and avoiding those that are already well established and whose results have already been exploited fully New tools appear regularly - synchrotron radiation, proton radiology, holography, optical tweezers, and muon radiography, for example, have all been used to open new areas of understanding|Books|https://wordery.com/jackets/9f029ea7/the-physics-of-proteins-robert-h-austin-9781441910431.jpg|9781441910431|The Physics of Proteins : Hardback : Springer-Verlag New York Inc. : 9781441910431 : 10 Jun 2010 : With growing connections between physics and the life sciences, this text introduces the terminology and the biological systems physicists encounter. It ...|new|1|1|999|119.99|0|GBP|Robert H. Austin|Springer-Verlag New York Inc.|10 Jun 2010|Biophysics 9781441908766|The Apollo Guidance Computer|25.32|https://wordery.com/the-apollo-guidance-computer-frank-obrien-9781441908766|The technological marvel that facilitated the Apollo missions to the Moon was the on-board computer. In the 1960s most computers filled an entire room, but the spacecraft's computer was required to be compact and low power. Although people today find it difficult to accept that it was possible to control a spacecraft using such a "primitive' computer, it nevertheless had capabilities that are advanced even by today's standards. This is the first book to fully describe the Apollo guidance computer's architecture, instruction format and programs used by the astronauts. As a comprehensive account, it will span the disciplines of computer science, electrical and aerospace engineering. However, it will also be accessible to the "space enthusiast'. In short, the intention is for this to be the definitive account of the Apollo guidance computer. Frank O'Brien's interest in the Apollo program began as a serious amateur historian. About 12 years ago, he began performing research and writing essays for the Apollo Lunar Surface Journal, and the Apollo Flight Journal. Much of this work centered on his primary interests, the Apollo Guidance Computer (AGC) and the Lunar Module. These Journals are generally considered the canonical online reference on the flights to the Moon. He was then asked to assist the curatorial staff in the creation of the Cradle of Aviation Museum, on Long Island, New York, where he helped prepare the Lunar Module simulator, a LM procedure trainer and an Apollo space suit for display. He regularly lectures on the Apollo computer and related topics to diverse groups, from NASA's computer engineering conferences, the IEEE/ACM, computer festivals and university student groups.|Books|https://wordery.com/jackets/79707748/the-apollo-guidance-computer-frank-obrien-9781441908766.jpg|9781441908766|The Apollo Guidance Computer : Paperback : Springer-Verlag New York Inc. : 9781441908766 : 01 Apr 2010 : The technological marvel that facilitated the Apollo missions to the Moon was the on-board computer. This is the first book to fully describe the ...|new|1|1|1|34.99|0|GBP|Frank O'Brien|Springer-Verlag New York Inc.|01 Apr 2010|Aerospace & aviation technology 9781441922106|Principles of Protein X-Ray Crystallography|64.01|https://wordery.com/principles-of-protein-x-ray-crystallography-jan-drenth-9781441922106|X-ray crystallography is an established method for studying the structure of proteins and other macromolecules. As the importance of proteins grows, researchers in many fields have found that a working knowledge of X-ray diffraction is an indispensable tool. In this new edition of his essential work, the internationally recognized researcher Dr. Jan Drenth offers an up-to-date and technically rigorous introduction to the subject, providing the theoretical background necessary to understand how the structure of proteins is determined at atomic resolution. New material in the 3rd edition includes a section on twinning, an additional chapter on crystal growth and a discussion of single-wavelength anomalous dispersion.|Books|https://wordery.com/jackets/bb16e2e5/principles-of-protein-x-ray-crystallography-jan-drenth-9781441922106.jpg|9781441922106|Principles of Protein X-Ray Crystallography : Paperback : Springer-Verlag New York Inc. : 9781441922106 : 12 Feb 2010 : In this new edition of an essential work, the renowned researcher Dr. Jan Drenth offers a rigorous and up-to-date introduction to t ...|new|1|1|999|64.99|0|GBP|Jan Drenth|Springer-Verlag New York Inc.|12 Feb 2010|Biochemistry 9781441912121|Design of Observational Studies|99.99|https://wordery.com/design-of-observational-studies-paul-r-rosenbaum-9781441912121|An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum's Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher's striking advice for observational studies, make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002.
2
Design of Observational Studies (2009)
EN NWISBN: 9781441912121 bzw. 1441912126, in Englisch, Springer New York, Springer New York, Springer New York, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25.
An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate."Paul R. Rosenbaum is the Robert G. Putzel Professor of Statistics at the Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association. In 2003, he received the George W. Snedecor Award from the Committee of Presidents of Statistical Societies. He is a senior fellow of the Leonard Davis Institute of Health Economics and a Research Associate at the Population Studies Center, both at the University of Pennsylvania. The second.
An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate."Paul R. Rosenbaum is the Robert G. Putzel Professor of Statistics at the Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association. In 2003, he received the George W. Snedecor Award from the Committee of Presidents of Statistical Societies. He is a senior fellow of the Leonard Davis Institute of Health Economics and a Research Associate at the Population Studies Center, both at the University of Pennsylvania. The second.
3
Design of Observational Studies
EN NWISBN: 9781441912121 bzw. 1441912126, in Englisch, Springer-Verlag GmbH, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Rheinberg-Buch, [3813847].
Neuware - An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher s striking advice for observational studies, 'make your theories elaborate.' The second edition of his book, Observational Studies, was published by Springer in 2002. Buch.
Rheinberg-Buch, [3813847].
Neuware - An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher s striking advice for observational studies, 'make your theories elaborate.' The second edition of his book, Observational Studies, was published by Springer in 2002. Buch.
4
Design of Observational Studies (2009)
EN NWISBN: 9781441912138 bzw. 1441912134, in Englisch, Springer New York, neu.
Lieferung aus: Schweiz, Auf Lager.
Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fishers striking advice for observational studies, ''make your theories elaborate.''The second edition of his book, Observational Studies, was published by Springer in 2002.
Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fishers striking advice for observational studies, ''make your theories elaborate.''The second edition of his book, Observational Studies, was published by Springer in 2002.
5
Design of Observational Studies
EN NWISBN: 9781441912138 bzw. 1441912134, in Englisch, Springer, Deutschland, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten, Sofort per Download lieferbar.
Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fishers striking advice for observational studies, "make your theories elaborate."The second edition of his book, Observational Studies, was published by Springer in 2002.
Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fishers striking advice for observational studies, "make your theories elaborate."The second edition of his book, Observational Studies, was published by Springer in 2002.
6
Design of Observational Studies
EN NWISBN: 9781441912138 bzw. 1441912134, in Englisch, Springer, Deutschland, neu.
Lieferung aus: Schweiz, zzgl. Versandkosten, Sofort per Download lieferbar.
Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fishers striking advice for observational studies, "make your theories elaborate."The second edition of his book, Observational Studies, was published by Springer in 2002.
Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies.Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fishers striking advice for observational studies, "make your theories elaborate."The second edition of his book, Observational Studies, was published by Springer in 2002.
7
Design of Observational Studies (Springer Series in Statistics) (2009)
EN HC NWISBN: 9781441912121 bzw. 1441912126, in Englisch, 384 Seiten, 2010. Ausgabe, Springer, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours.
Von Händler/Antiquariat, Amazon.com.
An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002., Hardcover, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2009-11-05, Studio: Springer, Verkaufsrang: 559172.
Von Händler/Antiquariat, Amazon.com.
An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002., Hardcover, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2009-11-05, Studio: Springer, Verkaufsrang: 559172.
8
Design of Observational Studies (Springer Series in Statistics) (2009)
EN HC USISBN: 9781441912121 bzw. 1441912126, in Englisch, 384 Seiten, 2010. Ausgabe, Springer, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Turnpike Liquidators.
An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002., Hardcover, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2009-11-05, Studio: Springer, Verkaufsrang: 559172.
Von Händler/Antiquariat, Turnpike Liquidators.
An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002., Hardcover, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2009-11-05, Studio: Springer, Verkaufsrang: 559172.
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Design of Observational Studies (Springer Series in Statistics) (2009)
EN HC NWISBN: 9781441912121 bzw. 1441912126, in Englisch, 384 Seiten, 2010. Ausgabe, Springer, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Book-Net.
An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002., Hardcover, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2009-11-05, Studio: Springer, Verkaufsrang: 386997.
Von Händler/Antiquariat, Book-Net.
An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002., Hardcover, Ausgabe: 2010, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2009-11-05, Studio: Springer, Verkaufsrang: 386997.
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