Non-strange Weird Resampling for Complex Survival Data

D. Dobler; Jan Beyersmann; Markus Pauly

doi:10.1093/biomet/asx026

Non-strange Weird Resampling for Complex Survival Data

D. Dobler, Jan Beyersmann, Markus Pauly

Mathematics

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Abstract

This 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.

Original language	English
Pages (from-to)	699–711
Number of pages	13
Journal	Biometrika
Volume	104
Issue number	3
Early online date	31 May 2017
DOIs	https://doi.org/10.1093/biomet/asx026
Publication status	Published - Sept 2017

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Non-strange weird resampling for complex survival dataFinal published version, 223 KBLicence: Article 25fa Dutch Copyright Act

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abstract = "This 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.",

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Non-strange Weird Resampling for Complex Survival Data

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