Model checking techniques for regression models in cancer screening
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Abstract:
There has been much work on developing statistical procedures for associating tumor size with the probability of detecting a metastasis. Recently, Ghosh (2004) developed a unified statistical framework in which equivalences with censored data structures and models for tumor size and metastasis were examined. Based on this framework, we consider model checking techniques for semiparametric regression models in this paper. The procedures are for checking the additive hazards model. Goodness of fit methods are described for assessing functional form of covariates as well as the additive hazards assumption. The finite-sample properties of the methods are assessed using simulation studies.
Subject Area:
Clinical Epidemiology, Statistical Models, Survival Analysis
Suggested Citation:
Debashis Ghosh, "Model checking techniques for regression models in cancer screening" (May 2004). The University of Michigan Department of Biostatistics Working Paper Series. Working Paper 37.
http://www.bepress.com/umichbiostat/paper37