Multiple Comparisons for Mixed Models

Name: Multiple Comparisons for Mixed Models
Brand: VDM Verlag
SKU: 9783639178647
Price: 338.51 PLN
Availability: InStock

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

Autor: George Zhengzhi Xia

Język:

Oprawa: Miękka

Wydawca: VDM Verlag

Dostępność: Dostępna u dostawcy

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The assumptions of constant variance and uncorrelated errors that are made in general linear models...

Informacje o książce

Autor

George Zhengzhi Xia

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2009

strony

236

EAN

9783639178647

ISBN

3639178645

Enbook ID

06826111

Wydawca

VDM Verlag

Waga

349

Wymiary

152 x 229 x 14

Pełny opis

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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Multiple Comparisons for Mixed Models

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

Informacje o książce

Pełny opis

Możesz być zainteresowany

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