Estimation of the failure time distribution in the presence of informative censoring

Daniel O. Scharfstein; James M. Robins

doi:10.1093/biomet/89.3.617

Estimation of the failure time distribution in the presence of informative censoring

Daniel O. Scharfstein, James M. Robins

Bloomberg School of Public Health

Research output: Contribution to journal › Review article › peer-review

69 Scopus citations

Abstract

We present a method for estimating the survival curve of a continuous failure time random variable from right-censored data. Our method allows adjustment for informative censoring due to measured prognostic factors for time-to-event and censoring while simultaneously quantifying the sensitivity of the inference to residual dependence between failure and censoring due to unmeasured factors. We present the results of a simulation study and illustrate our approach using data from the AIDS Clinical Trial Group 175 study.

Original language	English (US)
Pages (from-to)	617-634
Number of pages	18
Journal	Biometrika
Volume	89
Issue number	3
DOIs	https://doi.org/10.1093/biomet/89.3.617
State	Published - 2002

Keywords

Coarsening at random
Competing risks
Curse of dimensionality
Inverse probability of censoring weighted estimation
Kaplan-Meier estimator
Sequential ignorability of censoring

ASJC Scopus subject areas

Statistics and Probability
General Mathematics
Agricultural and Biological Sciences (miscellaneous)
General Agricultural and Biological Sciences
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1093/biomet/89.3.617

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title = "Estimation of the failure time distribution in the presence of informative censoring",

abstract = "We present a method for estimating the survival curve of a continuous failure time random variable from right-censored data. Our method allows adjustment for informative censoring due to measured prognostic factors for time-to-event and censoring while simultaneously quantifying the sensitivity of the inference to residual dependence between failure and censoring due to unmeasured factors. We present the results of a simulation study and illustrate our approach using data from the AIDS Clinical Trial Group 175 study.",

keywords = "Coarsening at random, Competing risks, Curse of dimensionality, Inverse probability of censoring weighted estimation, Kaplan-Meier estimator, Sequential ignorability of censoring",

author = "Scharfstein, {Daniel O.} and Robins, {James M.}",

note = "Funding Information: The authors are grateful to Mark van der Laan for fruitful discussions and to anonymous referees for suggestions that improved the quality of the paper. This research was partially supported by the National Institutes of Health.",

year = "2002",

doi = "10.1093/biomet/89.3.617",

language = "English (US)",

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pages = "617--634",

journal = "Biometrika",

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TY - JOUR

T1 - Estimation of the failure time distribution in the presence of informative censoring

AU - Scharfstein, Daniel O.

AU - Robins, James M.

N1 - Funding Information: The authors are grateful to Mark van der Laan for fruitful discussions and to anonymous referees for suggestions that improved the quality of the paper. This research was partially supported by the National Institutes of Health.

PY - 2002

Y1 - 2002

N2 - We present a method for estimating the survival curve of a continuous failure time random variable from right-censored data. Our method allows adjustment for informative censoring due to measured prognostic factors for time-to-event and censoring while simultaneously quantifying the sensitivity of the inference to residual dependence between failure and censoring due to unmeasured factors. We present the results of a simulation study and illustrate our approach using data from the AIDS Clinical Trial Group 175 study.

AB - We present a method for estimating the survival curve of a continuous failure time random variable from right-censored data. Our method allows adjustment for informative censoring due to measured prognostic factors for time-to-event and censoring while simultaneously quantifying the sensitivity of the inference to residual dependence between failure and censoring due to unmeasured factors. We present the results of a simulation study and illustrate our approach using data from the AIDS Clinical Trial Group 175 study.

KW - Coarsening at random

KW - Competing risks

KW - Curse of dimensionality

KW - Inverse probability of censoring weighted estimation

KW - Kaplan-Meier estimator

KW - Sequential ignorability of censoring

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DO - 10.1093/biomet/89.3.617

M3 - Review article

AN - SCOPUS:0009904560

SN - 0006-3444

VL - 89

SP - 617

EP - 634

JO - Biometrika

JF - Biometrika

IS - 3

ER -

Estimation of the failure time distribution in the presence of informative censoring

Abstract

Keywords

ASJC Scopus subject areas

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