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A non-parametric maximum likelihood estimator for bivariate interval censored data.

R A Betensky·D M Finkelstein
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Abstract

We derive a non-parametric maximum likelihood estimator for bivariate interval censored data using standard techniques for constrained convex optimization. Our approach extends those taken for univariate interval censored data. We illustrate the estimator with bivariate data from an AIDS study.

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Acquired Immunodeficiency SyndromeClinical Trials as TopicCytomegalovirusCytomegalovirus InfectionsFecesHumansLikelihood FunctionsMycobacterium avium ComplexMycobacterium avium-intracellulare InfectionSputumStatistics, NonparametricJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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R A Betensky, D M Finkelstein. 1999-11-30. A non-parametric maximum likelihood estimator for bivariate interval censored data.. https://doi.org/10.1002/(sici)1097-0258(19991130)18%3A22%3C3089%3A%3Aaid-sim191%3E3.0.co%3B2-0

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