A comparison of models for clustered binary outcomes

Analysis of a designed immunology experiment

Rebecca Betensky, Paige L. Williams, Howard M. Lederman

Research output: Contribution to journalReview article

Abstract

The lymphocyte proliferative assay (LPA) of immune competence was conducted on 52 subjects, with up to 36 processing conditions per subject, to evaluate whether samples could be shipped or stored overnight, rather than being processed on fresh blood as currently required. The LPA study resulted in clustered binary data, with both cluster level and cluster-varying covariates. Two modelling strategies for the analysis of such clustered binary data are through the cluster-specific and population-averaged approaches. Whereas most research in this area has focused on the analysis of matched pairs data, in many situations, such as the LPA study, cluster sizes are naturally larger. Through considerations of interpretation and efficiency of these models when applied to large clusters, the mixed effect cluster-specific model was selected as most appropriate for the analysis of the LPA data. The model confirmed that the LPA response is significantly impaired in individuals infected with the human immunodeficiency virus (HIV). The LPA response was found to be significantly lower for shipped and overnight samples than for fresh samples, and this effect was significantly stronger among HIV-infected individuals. Surprisingly, an anticoagulant effect was not detected.

Original languageEnglish (US)
Pages (from-to)43-61
Number of pages19
JournalJournal of the Royal Statistical Society. Series C: Applied Statistics
Volume50
Issue number1
DOIs
StatePublished - Jan 1 2001

Fingerprint

Immunology
Binary Outcomes
Lymphocytes
Experiment
Clustered Data
Binary Data
Virus
Model
Mixed Effects
Matched pairs
Blood
Covariates
Evaluate
Modeling

Keywords

  • Cluster-specific model
  • Conditional logistic regression
  • Efficiency
  • Generalized estimating equations
  • Immunologic response
  • Logistic regression
  • Lymphocyte proliferative assay
  • Mixed effect
  • Population-averaged model

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

A comparison of models for clustered binary outcomes : Analysis of a designed immunology experiment. / Betensky, Rebecca; Williams, Paige L.; Lederman, Howard M.

In: Journal of the Royal Statistical Society. Series C: Applied Statistics, Vol. 50, No. 1, 01.01.2001, p. 43-61.

Research output: Contribution to journalReview article

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