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

We derive the nonparametric maximum likelihood estimate (NPMLE) of the cumulative incidence functions for competing risks survival data subject to interval censoring and truncation. Since the cumulative incidence function NPMLEs give rise to an estimate of the survival distribution which can be unde...

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Veröffentlicht in:	Biometrics 2001-03, Vol.57 (1), p.74-80
Hauptverfasser:	Hudgens, Michael G., Satten, Glen A., Longini, Ira M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biometry Censored data Censorship Cohort Studies Competing risks Confidence interval Cumulative incidence function Data Interpretation, Statistical Estimation methods Estimators HIV Infections - etiology HIV Infections - virology HIV subtypes HIV-1 - classification Humans Interval censoring Interval estimators Likelihood Functions Maximum likelihood estimation Maximum likelihood estimators Nonparametric maximum likelihood Pseudolikelihood Reliability functions Risk Substance Abuse, Intravenous - complications Survival Analysis Thailand Truncation
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