A note on robust inference from a conditional Poisson model

Biom J. 2006 Feb;48(1):117-30. doi: 10.1002/bimj.200410140.

Abstract

A randomised controlled trial to evaluate a training programme for physician-patient communication required the analysis of paired count data. The impact of departures from the Poisson assumption when paired count data are analysed through use of a conditional likelihood is illustrated. A simple approach to providing robust inference is outlined and illustrated.

Publication types

  • Evaluation Study

MeSH terms

  • Algorithms*
  • Biometry / methods*
  • Computer Simulation
  • Data Interpretation, Statistical*
  • Effect Modifier, Epidemiologic
  • Logistic Models
  • Medical Oncology / education*
  • Medical Oncology / statistics & numerical data
  • Models, Biological
  • Numerical Analysis, Computer-Assisted
  • Odds Ratio
  • Physician-Patient Relations*
  • Poisson Distribution*
  • Regression Analysis*
  • Surveys and Questionnaires
  • United Kingdom