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Adjusting for Time-Varying Confounding in Survival Analysis

Publication Abstract

Barber, Jennifer S., Susan A. Murphy, and Natalya Verbitsky. 2004. “Adjusting for Time-Varying Confounding in Survival Analysis.” Sociological Methodology 34(1):163-92.

In this paper we illustrate how directly including endogenous time-varying confounders in the model of the effect of an exposure on a response can lead to bias in discrete time survival analysis. An alternative to this method is Hernán, Brumback, and Robins’(1999) use of sample weights to adjust for endogenous time-varying confounding. We discuss when this method can be used to provide unbiased estimators, and we illustrate the method by addressing a substantive research question using existing survey data. We also critically examine the robustness of the weighting method to violations of the underlying assumptions via a simulation analysis.

DOI: 10.1111/j.0081-1750.2004.00151.x