title: A computer program for the statistical analysis of repeated event data using a mixed effects regression model.
abstract: This paper presents a computer program for fitting mixed effects regression models to repeated events data. The method has been described by Abu-Libdeh, Turnbull and Clark (Biometrics 46 (1990) 1017-1034). Such data can occur in longitudinal studies where subjects experience repeated events over time. The program allows the stepwise construction of a series of regression models which can be used to examine and test the influence of the various measured covariates upon the event rates. Two examples are provided. The first is a simple example involving the incidence of mammary tumors in rats. The second involves a very large complex data set from a clinical trial for the prevention of recurrent skin tumors.
authors.affiliation: School of Operations Research and Industrial Engineering, Cornell University, Ithaca, NY 14850-3801.
authors.forename: R
authors.initials: R
authors.lastname: Natarajan
authors.forename: B W
authors.initials: BW
authors.lastname: Turnbull
authors.forename: E H
authors.initials: EH
authors.lastname: Slate
authors.forename: M T
authors.initials: MT
authors.lastname: Wells
authors.forename: L C
authors.initials: LC
authors.lastname: Clark
authors.forename: H
authors.initials: H
authors.lastname: Abu-Libdeh
mesh_terms: D000818:Animals; D008325:Mammary Neoplasms, Experimental; D015233:Models, Statistical; D051381:Rats; D012044:Regression Analysis; D012984:Software