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A Note on Robust Inference From a Conditional Poisson Model
Author(s) -
SolísTrápala Ivonne L.,
Farewell Ver T.
Publication year - 2006
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200410140
Subject(s) - inference , count data , poisson distribution , poisson regression , statistics , statistical inference , mathematics , econometrics , simple (philosophy) , computer science , medicine , artificial intelligence , population , environmental health , philosophy , epistemology
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. (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
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