[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5351/KJAS.2012.25.6.947

A Flexible Modeling Approach for Current Status Survival Data via Pseudo-Observations

Han, Seungbong (Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine)
Andrei, Adin-Cristian (BCVI Clinical Trials Unit, Feinberg School of Medicine, Northwestern University)
Tsui, Kam-Wah (Department of Statistics, University of Wisconsin-Madison)

Publication Information

The Korean Journal of Applied Statistics / v.25, no.6, 2012 , pp. 947-958 More about this Journal

Abstract

When modeling event times in biomedical studies, the outcome might be incompletely observed. In this paper, we assume that the outcome is recorded as current status failure time data. Despite well-developed literature the routine practical use of many current status data modeling methods remains infrequent due to the lack of specialized statistical software, the difficulty to assess model goodness-of-fit, as well as the possible loss of information caused by covariate grouping or discretization. We propose a model based on pseudo-observations that is convenient to implement and that allows for flexibility in the choice of the outcome. Parameter estimates are obtained based on generalized estimating equations. Examples from studies in bile duct hyperplasia and breast cancer in conjunction with simulated data illustrate the practical advantages of this model.

Keywords

Breast cancer; current status data; generalized estimating equations; NPMLE; regression model;

Citations & Related Records

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