Missing data methods in longitudinal studies: a review

  title={Missing data methods in longitudinal studies: a review},
  author={J. Ibrahim and G. Molenberghs},
  • J. Ibrahim, G. Molenberghs
  • Published 2009
  • Mathematics
  • TEST
  • Incomplete data are quite common in biomedical and other types of research, especially in longitudinal studies. During the last three decades, a vast amount of work has been done in the area. This has led, on the one hand, to a rich taxonomy of missing-data concepts, issues, and methods and, on the other hand, to a variety of data-analytic tools. Elements of taxonomy include: missing data patterns, mechanisms, and modeling frameworks; inferential paradigms; and sensitivity analysis frameworks… CONTINUE READING
    238 Citations
    Missing data in clinical studies: issues and methods.
    • J. Ibrahim, Haitao Chu, M. Chen
    • Medicine
    • Journal of clinical oncology : official journal of the American Society of Clinical Oncology
    • 2012
    • 92
    Analysis of repeated measures and longitudinal data in health services research
    • 2
    • PDF
    Practical and statistical issues in missing data for longitudinal patient-reported outcomes
    • 151
    Methods for handling missing data in a population based cohort study
    Bayesian Sensitivity Analysis for Non-ignorable Missing Data in Longitudinal Studies
    Longitudinal data analysis with non-ignorable missing data
    • 11


    Coping with missing data in clinical trials: a model-based approach applied to asthma trials.
    • 89
    • PDF
    A latent-class mixture model for incomplete longitudinal Gaussian data.
    • 77
    • PDF
    Linear Mixed Models for Longitudinal Data
    • 2,829
    Methods for the analysis of informatively censored longitudinal data.
    • M. Schluchter
    • Computer Science, Medicine
    • Statistics in medicine
    • 1992
    • 284
    Longitudinal data analysis for discrete and continuous outcomes.
    • 6,969
    • PDF
    Random-effects models for longitudinal data.
    • 5,984
    • PDF