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Adjusted Kaplan-Meier estimator and log-rank test with inverse probability of treatment weighting for survival data.

STATISTICS IN MEDICINE, no. 20 (2005): 3089-3110

Cited: 79|Views25
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Abstract

Estimation and group comparison of survival curves are two very common issues in survival analysis. In practice, the Kaplan-Meier estimates of survival functions may be biased due to unbalanced distribution of confounders. Here we develop an adjusted Kaplan-Meier estimator (AKME) to reduce confounding effects using inverse probability of ...More

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