Nonparametric Maximum Likelihood Estimation for Competing Risks Survival Data Subject to Interval Censoring and Truncation-Reference-Cited by-同舟云学术

Nonparametric Maximum Likelihood Estimation for Competing Risks Survival Data Subject to Interval Censoring and Truncation

Published:2001-03 Issue:1 Volume:57 Page:74-80
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Hudgens Michael G.¹²,Satten Glen A.³,Longini Ira M.¹

Affiliation:

1. Department of Biostatistics, Emory University, Atlanta, Georgia 30322, U.S.A.

2. Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, MW‐500, PO Box 19024, Seattle, Washington 98109, U.S.A.

3. Centers for Disease Control and Prevention, Atlanta, Georgia 30333, U.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.0006-341X.2001.00074.x

Reference14 articles.

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2. A note on nonparametric estimation of the distribution function from interval censored and truncated observations;Frydman H.;Journal of the Royal Statistical Society, Series B,1994

3. Nonparametric estimation of a Markov ‘illness‐death’ process from interval censored observations, with application to diabetes survival data;Frydman H.;Biometrika,1995

4. Maximum likelihood for interval censored data: Consistency and computation

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