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Missing Data in Longitudinal Studies - 9781584886099

Un libro in lingua di Daniels Michael J. Hogan Joseph W. edito da Chapman & Hall, 2008

  • € 107.50
  • Il prezzo è variabile in funzione del cambio della valuta d’origine

With a focus on health care, this book takes a systematic approach to a common problem in research, presenting solutions that work in a variety of study designs, variable types and situations in which data is missing. Daniels (U. of Florida) and Hogan (Brown U.) begin by describing problems encountered in dose-finding trials for an experimental treatment for schizophrenia, a trial of recombinant human growth hormone for increasing muscle strength in the elderly, a smoking cessation study, and HIV studies. Keeping such applications in mind, they then describe regression models, methods for Bayesian inference, worked examples using complete data, missing data mechanisms, inference about full-data parameters under the rules of "ignorability," models for ignorable and nonignorable situations, informative priors and sensitivity analysis. Code is provided on a supplementary web page. The bibliography is excellent, and the authors also include suggestions for further reading with most chapters. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

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