title: General linear models for multicenter clinical trials.
abstract: The use of generalized linear models (GLM) in the analysis of multicenter clinical trials is commonplace. Currently, diverse opinion exists as to the proper modeling approach in this setting. This paper provides a description of the technical backdrop underlying the model selection and discusses the pros and cons of the usual parameter estimators. Arguments are given favoring a model incorporating a term for interaction effect while attenuating the effects of small centers.
authors.affiliation: Chiron Corporation, Emeryville, California 94608-2916, USA. gregory_schwemer@cc.chiron.com
authors.forename: G
authors.initials: G
authors.lastname: Schwemer
mesh_terms: D002986:Clinical Trials as Topic / Q000379:methods*; D003627:Data Interpretation, Statistical; D006801:Humans; D016014:Linear Models; D015337:Multicenter Studies as Topic; D012107:Research Design; D018401:Sample Size