Statistical Methods for the Analysis of Repeated Measurements (Springer Texts in Statistics)

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Statistical Methods for the Analysis of Repeated Measurements (Springer Texts in Statistics)

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  • 製本 Hardcover:ハードカバー版／ページ数 425 p.
  • 商品コード 9780387953700

Full Description

I have endeavored to provide a comprehensive introduction to a wide - riety of statistical methods for the analysis of repeated measurements. I envision this book primarily as a textbook, because the notes on which it is based have been used in a semester-length graduate course I have taught since1991.Thiscourseisprimarilytakenbygraduatestudentsinbiostat- tics and statistics, although students and faculty from other departments have audited the course. I also anticipate that the book will be a useful r- erence for practicing statisticians. This assessment is based on the positive responses I have received to numerous short courses I have taught on this topic to academic and industry groups. Althoughmyintentistoprovideareasonablycomprehensiveoverviewof methodsfortheanalysisofrepeatedmeasurements,Idonotviewthisbook as a de?nitive "state of the art" compendium of research in this area. Some general approaches are extremely active areas of current research, and it is not feasible, given the goals of this book, to include a comprehensive summary and list of references. Instead, my focus is primarily on methods that are implemented in standard statistical software packages. As a result, thelevelofdetailonsometopicsislessthaninotherbooks,andsomemore recent methods of analysis are not included. One particular example is the topic of nonlinear mixed models for the analysis of repeated measurements (Davidian and Giltinan, 1995; Vonesh and Chinchilli, 1996). With respect to some of the more recent methods of analysis, I do attempt to mention some of the areas of current research.

Contents

Univariate Methods.- Normal-Theory Methods: Unstructured Multivariate Approach.- Normal-Theory Methods: Multivariate Analysis of Variance.- Normal-Theory Methods: Repeated Measures ANOVA.- Normal-Theory Methods: Linear Mixed Models.- Weighted Least Squares Analysis of Repeated Categorical Outcomes.- Randomization Model Methods for One-Sample Repeated Measurements.- Methods Based on Extensions of Generalized Linear Models.- Nonparametric Methods.