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MARC 21

Design of Observational Studies
Tag	Description
020	$a9781441912138
082	$a519.5
099	$aOnline Resource: Springer
100	$aRosenbaum, Paul R.
245	$aDesign of Observational Studies$hEB$cby Paul R. Rosenbaum.
260	$aNew York, NY$bSpringer$c2010.
300	$bonline resource.
336	$atext
338	$aonline resource
440	$aSpringer Series in Statistics,$x0172-7397
505	$aIntroduction -- Matching to control bias from measured covariates -- Addressing bias from covariates that were not measured.
520	$aAn 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 Rosenbaumâs 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 Fisherâs 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 edition of his book, Observational Studies, was published by Springer in 2002.
538	$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
710	$aSpringerLink (Online service)
856	$uhttp://dx.doi.org/10.1007/978-1-4419-1213-8