【名称】longitudinal_and_incomplete_data_analysis
【作者】Geert Verbeke, Geert Molenberghs
【日期】10 July 2004
【文件格式】PDF
【文件大小】约1.8MB
【页数】161
【资料类别】统计学课件
【是否缺页】无缺页，但Part IV内容需顺时针旋转90度阅读
【关键词】longitudinal, incomplete data
【内容简介】
 该资料介绍了对连续型、离散型纵向数据建模的相关理论及SAS实现，针对不完全数据的缺失机制（MCAR/MAR/NMAR）选择适合的统计方法等内容。
【目录】

Part I Continuous Longitudinal Data
Chapter 1 Introduction
Chapter 2 A Model for Longitudinal Data
Chapter 3 Estimation and Inference in the Marginal Model
Chapter 4 Inference for the Random Effects

Part II Marginal Models for Non-Gaussian Longitudinal Data
Chapter 5 Non-Continuous Data: Motivating Studies
Chapter 6 Generalized Linear Models
Chapter 7 Parametric Modeling Families
Chapter 8 Generalized Estimating Equations

Part III Random-Effects Models for Non-Gaussian Longitudinal Data
Chapter 9 Generalized linear mixed models
Chapter 10 Marginal Versus Random-effects Inference

Part IV Incomplete Data
Chapter 11 Setting the scene
Chapter 12 Proper analysis of Incomplete Data
Chapter 13 MNAR