Non-strange weird resampling for complex survival data

D. Dobler, J. Beyersmann and M. Pauly

Biometrika, 2017, vol. 104, issue 3, 699-711

Abstract: SummaryThis paper introduces a new data-dependent multiplier bootstrap for nonparametric analysis of survival data, possibly subject to competing risks. The nw procedure includes the general wild bootstrap and the weird bootstrap as special cases. The data may be subject to independent right-censoring and left-truncation. The asymptotic correctness of the proposed resampling procedure is proven under standard assumptions. Simulation results on time-simultaneous inference suggest that the weird bootstrap performs better than the standard normal multiplier approach.

Keywords: Aalen–Johansen estimator; Confidence band; Counting process; Cramér–von Mises statistic; Cumulative incidence function; Kaplan–Meier estimator; Kolmogorov–Smirnov statistic (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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