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Complex Surveys: A Guide to Analysis Using r (en Inglés)
Thomas Lumley
(Autor)
·
Wiley
· Tapa Blanda
Complex Surveys: A Guide to Analysis Using r (en Inglés) - Lumley, Thomas
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Reseña del libro "Complex Surveys: A Guide to Analysis Using r (en Inglés)"
A complete guide to carrying out complex survey analysis usingR As survey analysis continues to serve as a core component ofsociological research, researchers are increasingly relying upondata gathered from complex surveys to carry out traditionalanalyses. Complex Surveys is a practical guide to theanalysis of this kind of data using R, the freely available anddownloadable statistical programming language. As creator of thespecific survey package for R, the author provides the ultimatepresentation of how to successfully use the software for analyzingdata from complex surveys while also utilizing the most currentdata from health and social sciences studies to demonstrate theapplication of survey research methods in these fields.The book begins with coverage of basic tools and topics withinsurvey analysis such as simple and stratified sampling, clustersampling, linear regression, and categorical data regression.Subsequent chapters delve into more technical aspects of complexsurvey analysis, including post-stratification, two-phase sampling,missing data, and causal inference. Throughout the book, anemphasis is placed on graphics, regression modeling, and two-phasedesigns. In addition, the author supplies a unique discussion ofepidemiological two-phase designs as well as probability-weightingfor causal inference. All of the book's examples and figures aregenerated using R, and a related Web site provides the R code thatallows readers to reproduce the presented content. Each chapterconcludes with exercises that vary in level of complexity, anddetailed appendices outline additional mathematical andcomputational descriptions to assist readers with comparing resultsfrom various software systems.Complex Surveys is an excellent book for courses onsampling and complex surveys at the upper-undergraduate andgraduate levels. It is also a practical reference guide for appliedstatisticians and practitioners in the social and health scienceswho use statistics in their everyday work.
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