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Article overview
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A cohort-weighted Kaplan-Meier statistic for addressing random non-homogeneity in survival comparisons | | Aaron Heuser
; Minh Huynh
; Joshua C. Chang
; | | Date: |
10 Jan 2017 | | Abstract: | The Kaplan-Meier product-limit estimator is a simple and powerful tool in
time to event analysis. However, by design, it is agnostic to the influence of
covariates. Hence it is not suited for resolving issues of heterogeneity and
differential censoring that may feature in real applications, except through
extensions or modifications. A specific example of these issues occurs in
longitudinal studies comparing populations where the underlying survival
functions are non-stationary. Motivated by this problem, we introduce a
weighted product limit estimator for the population survival function under
random representation of constituent cohorts. Based on this estimator we
provide a test statistic for comparing populations. We derive the asymptotic
behavior of the statistic based on an empirical process of product-limit
estimators. | | Source: | arXiv, 1701.2424 | | Services: | Forum | Review | PDF | Favorites | |
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