Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function.

Abstract

Typically, regression models for competing risks outcomes are based on proportional hazards models for the crude hazard rates. These estimates often do not agree with impressions drawn from plots of cumulative incidence functions for each level of a risk factor. We present a technique which models the cumulative incidence functions directly. The method is… (More)

Topics

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.