Charles S. Davis

Statistical Methods for the Analysis of Repeated Measurements

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Springer Texts in Statistics
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-2976-1
• 2002
• Seitenzahl: 440
• Erscheinungstermin: 3. Dezember 2010
• Englisch
• Abmessung: 235mm x 155mm x 24mm
• Gewicht: 663g
• ISBN-13: 9781441929761
• ISBN-10: 1441929762
• Artikelnr.: 32164106

Autorenporträt

The book will provide a comprehensive introduction to a wide variety of statistical methods for the analysis of repeated measurements. This topic is a very active resarch area and it will be of intereste to researchers, graduate students, and practitioners in statistics, biostatistics, and social science.

Inhaltsangabe

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.

Rezensionen

From the reviews; MATHEMATICAL REVIEWS "...the book covers a wide range of topics, including inference based on normal theory, repeated categorical outcomes and missing values. The book is based on lecture notes used by the author since 1991. Hence, the material and the structure of the book have been well tested by different audiences. Another feature of the book is the inclusion of a very rich collection of problems with excellent real data. Thus, it is a nice textbook for a semester course on repeated measurements and longitudinal data." SHORT BOOK REVIEW "Each major topic is introduced logically; background theory is clearly elucidated, and at least one example is carefully worked in detail. The use of eighty real sets of data, given in full, is a most attractive feature. Attention is concentrated on those techniques that are most readily available in software. ... This should prove to be a very useful text for teacher, student and practitioner alike." JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "Most other books on repeated measurements tend to focus on specialized topics. In my opinion, [this] book is the most comprehensive and readable of the lot. I would highly recommend its use as a text for a semester-length graduate course for biostatistics and statistics students and also as resource book for consulting biostatisticians and statisticians. In addition, this book would be a valuable resource for students from other fields of study (e.g., the health sciences) who have a statistical aptitude. The book is definitely worth the price."