6. Marginal Longitudinal Data Analysis

  1. Stephane Heritier1,
  2. Eva Cantoni2,
  3. Samuel Copt3 and
  4. Maria-Pia Victoria-Feser4

Published Online: 1 DEC 2010

DOI: 10.1002/9780470740538.ch6

Robust Methods in Biostatistics

Robust Methods in Biostatistics

How to Cite

Heritier, S., Cantoni, E., Copt, S. and Victoria-Feser, M.-P. (2009) Marginal Longitudinal Data Analysis, in Robust Methods in Biostatistics, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470740538.ch6

Author Information

  1. 1

    The George Institute for International Health, University of Sydney, Australia

  2. 2

    Department of Econometrics, University of Geneva, Switzerland

  3. 3

    Merck Serono International, Geneva, Switzerland

  4. 4

    HEC Section, University of Geneva, Switzerland

Publication History

  1. Published Online: 1 DEC 2010
  2. Published Print: 17 APR 2009

ISBN Information

Print ISBN: 9780470027264

Online ISBN: 9780470740538



  • marginal longitudinal data analysis;
  • longitudinal datamodels - step further away from linear models;
  • Marginal Longitudinal Data Model (MLDA) and alternatives;
  • GUIDE data example - dataset of GUIDE study (Guidelines for urinary incontinence;
  • robust GEE-type estimator;
  • robust inference and significance testing and CIs;
  • LEI data example - dataset on direct laryngoscopic endotracheal intubation (LEI);
  • robust GEE fits for LEI dataset;
  • robust p-values for model comparison based on quasi-deviance difference


This chapter contains sections titled:

  • Introduction

  • The Marginal Longitudinal Data Model (MLDA) and Alternatives

  • A Robust GEE-type Estimator

  • Robust Inference

  • LEI Data Example

  • Stillbirth in Piglets Data Example

  • Discussion and Extensions