Linear Mixed Models for Longitudinal Data by Geert Verbeke, Geert Molenberghs

Description: Linear Mixed Models for Longitudinal Data Springer Series in Statisticsby Geert Verbeke, Geert Molenberghs ISBN-13: 9780387950273 ISBN-10: 0387950273 Publisher: Springer Binding: Hardcover Publication Year: 2000 Edition: First Condition: Good – 15 pages have penciled underlining and marks of them • general signs of moderate use and wear About: refer to image(s)Contents:1) Introduction 2) Examples 3) A Model for Longitudinal Data 4) Exploratory Data Analysis 5) Estimation of the Marginal Model 6) Inference for the Marginal Model 7) Inference for the Random Effects 8) Fitting Linear Mixed Models with SAS 9) General Guidelines for Model Building 10) Exploring Serial Correlation 11) Local Influence for the Linear Mixed Model 12) The Heterogeneity Model 13) Conditional Linear Mixed Models 14) Exploring Incomplete Data 15) Joint Modeling of Measurements and Missingness 16) Simple Missing Data Methods 17) Selection Models 18) Pattern-Mixture Models 19) Sensitivity Analysis for Selection Models 20) Sensitivity Analysis for Models 21) How Ignorable is Missing at Random? 22) The Expectation-Maximization Algorithm 23) Design Considerations 24) Case Studies mySku 4832

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