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On the regression analysis of tumour recurrence rates
Author(s) -
Seeber G. U. H.
Publication year - 1989
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780081108
Subject(s) - overdispersion , covariate , statistics , regression analysis , regression , econometrics , population , missing data , proportional hazards model , mathematics , medicine , count data , environmental health , poisson distribution
Regression models with mixture (random) components are proposed for the statistical analysis of recurrent events when waiting times between successive events are unknown. These models allow adjustment of parameter estimates for unobserved heterogeneity in the population (due for example to missing covariates) or overdispersion resulting from inexact distributional assumptions. The models are illustrated by a study of recurrence rates of superficial bladder cancer in men.