Using Conditional Logistic Regression to Fit Proportional Odds Models to Interval Censored Data-Reference-Cited by-同舟云学术

Using Conditional Logistic Regression to Fit Proportional Odds Models to Interval Censored Data

Published:2000-06 Issue:2 Volume:56 Page:511-518
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:

Author:

Rabinowitz Daniel,Betensky Rebecca A.,Tsiatis Anastasios 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

Reference19 articles.

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2. Maximum likelihood from incomplete data via the EM algorithm;Dempster;Journal of the Royal Statistical Society, Series B,1977

3. Rank invariant tests for interval censored data under the grouped continuous model;Fay;Biometrics,1996

4. A proportional hazards model for interval-censored failure time data;Finkelstein;Biometrics,1986

5. Groeneboom , P. 1991 Nonparametric maximum likelihood estimators for interval censoring and deconuolution

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