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Activity Number: 431
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #320646 View Presentation
Title: Confidence Intervals for Adjusted Kaplan-Meier Survival Curves with Time-Dependent Confounding
Author(s): Jing Guo* and Richard Charnigo
Companies: University of Kentucky and University of Kentucky
Keywords: confidence interval ; adjusted Kaplan-Meier survival curves ; inverse probability of treatment weighting (IPTW) ; time-dependent confounding

In the presence of time-dependent confounders, a marginal structural model could be used for survival analysis instead of the standard Cox proportional hazards model. Westreich and colleagues developed adjusted Kaplan-Meier type survival estimators by inverse probability of treatment weighting (IPTW) to accompany such a marginal structural model. However, previous work has not addressed how to construct the corresponding confidence intervals. Quantifying the uncertainty of IPTW-adjusted Kaplan-Meier survival estimators is important for valid comparisons between groups at specified time points. In the present study, we propose a method to construct pointwise confidence intervals around IPTW-adjusted Kaplan-Meier survival curves. We also apply this methodology using the dataset from the Multicenter AIDS Cohort Study under two different time scales.

Authors who are presenting talks have a * after their name.

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