A note on robust inference from a conditional Poisson model.
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.
Solís-Trápala
Ivonne L
IL
Centro de Investigación en Matemáticas, Guanajuato, México. ivonne@cimat.mx
Farewell
Vernon T
VT
D000465:Algorithms; D001699:Biometry / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D015987:Effect Modifier, Epidemiologic; D016015:Logistic Models; D008495:Medical Oncology / Q000193:education* / Q000706:statistics & numerical data; D008954:Models, Biological; D009716:Numerical Analysis, Computer-Assisted; D016017:Odds Ratio; D010817:Physician-Patient Relations; D016012:Poisson Distribution; D012044:Regression Analysis; D011795:Surveys and Questionnaires; D006113:United Kingdom