Kniha Multiple Comparisons for Mixed Models George Zhengzhi Xia

Multiple Comparisons for Mixed Models

Concepts, Theoretical Reasons, and Case Studies on Longitudinal and Repeated Measures Data Analysis

Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: VDM Verlag
Dostupnosť: Skladom u dodávateľa
Odosielame za 9-15 dní
75.65
The assumptions of constant variance and uncorrelated errors that are made in general linear models...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2009
Stránok
236
EAN
9783639178647
ISBN
3639178645
Enbook ID
06826111
Vydavateľ
Hmotnosť
349
Rozmery
152 x 229 x 14

Kompletný popis

The assumptions of constant variance and uncorrelated errors that are made in general linear models often do not hold for longitudinal data, repeated measures, and general mixed models. The traditional multiple comparison (MCP) methods based on the studentized range distribution and multivariate t distribution are exact only under the assumptions of linearity, normality, constant variance, and uncorrelated error. The element of MCPs is often to compare the means of two measures. For the two-sample t test, even a moderate correlation to observations will result in serious bias; this problem definitely carries over to multiplicity-adjusted inferences. The book briefly reviews the background of traditional procedures of MCPs then investigates some MCPs with longitudinal repeated measures. In these cases the sample errors are inflated/deflated because of the correlation among observations, and results in giving incorrect inferences. In this book, we suggest using different ways of dealing with this situation under various mixed models. This book includes full of case studies and gives detailed step by step theoretical explanations.

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