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      Book

      Longitudinal Data Analysis
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      Book

      Longitudinal Data Analysis

      DOI link for Longitudinal Data Analysis

      Longitudinal Data Analysis book

      Longitudinal Data Analysis

      DOI link for Longitudinal Data Analysis

      Longitudinal Data Analysis book

      Edited ByGarrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs
      Edition 1st Edition
      First Published 2008
      eBook Published 5 August 2008
      Pub. Location New York
      Imprint Chapman and Hall/CRC
      DOI https://doi.org/10.1201/9781420011579
      Pages 632
      eBook ISBN 9780429142673
      Subjects Behavioral Sciences, Bioscience, Mathematics & Statistics
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      Get Citation

      Fitzmaurice, G., Davidian, M., Verbeke, G., & Molenberghs, G. (Eds.). (2008). Longitudinal Data Analysis (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781420011579

      ABSTRACT

      Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory

      TABLE OF CONTENTS

      part |2 pages

      PART I: Introduction and Historical Overview

      chapter 1|26 pages

      Advances in longitudinal data analysis: An historical perspective

      part |2 pages

      PART II: Parametric Modeling of Longitudinal Data

      chapter 2|12 pages

      Parametric modeling of longitudinal data: Introduction and overview

      chapter 3|36 pages

      Generalized estimating equations for longitudinal data analysis

      chapter 4|28 pages

      Generalized linear mixed-effects models

      BySophia Rabe-Hesketh, Anders Skrondal

      chapter 5|36 pages

      Non-linear mixed-effects models

      ByMarie Davidian

      chapter 6|24 pages

      Growth mixture modeling: Analysis with non-Gaussian random effects

      chapter 7|22 pages

      Targets of inference in hierarchical models for longitudinal data

      part |2 pages

      PART III: Non-Parametric and Semi-Parametric Methods for Longitudinal Data

      chapter 8|8 pages

      Non-parametric and semi-parametric regression methods: Introduction and overview

      chapter 9|24 pages

      Non-parametric and semi-parametric regression methods for longitudinal data

      chapter 10|30 pages

      Functional modeling of longitudinal data

      ByHans-Georg Mu¨ller

      chapter 11|38 pages

      Smoothing spline models for longitudinal data

      ByS. J. Welham

      chapter 12|26 pages

      Penalized spline models for longitudinal data

      ByBabette A. Brumback, Lyndia C. Brumback, Mary J. Lindstrom

      part |2 pages

      PART IV: Joint Models for Longitudinal Data

      chapter 13|8 pages

      Joint models for longitudinal data: Introduction and overview

      chapter 14|22 pages

      Joint models for continuous and discrete longitudinal data

      chapter 15|18 pages

      Random-effects models for joint analysis of repeated-measurement and time-to-event outcomes

      chapter 16|26 pages

      Joint models for high-dimensional longitudinal data

      BySteffen Fieuws, Geert Verbeke

      part |2 pages

      PART V: Incomplete Data

      chapter 17|14 pages

      Incomplete data: Introduction and overview

      ByGeert Molenberghs, Garrett Fitzmaurice

      chapter 18|24 pages

      Selection and pattern-mixture models

      ByRoderick Little

      chapter 19|20 pages

      Shared-parameter models

      ByPaul S. Albert, Dean A. Follmann

      chapter 20|24 pages

      Inverse probability weighted methods

      ByAndrea Rotnitzky

      chapter 21|24 pages

      Multiple imputation

      ByMichael G. Kenward, James R. Carpenter

      chapter 22|52 pages

      Sensitivity analysis for incomplete data

      ByGeert Molenberghs, Geert Verbeke, Michael G. Kenward

      chapter 23|48 pages

      Estimation of the causal effects of time-varying exposures

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