Empirical Estimation of a Distribution Function with Truncated and Doubly Interval-Censored Data and Its Application to AIDS Studies
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Publication:4335735
DOI10.2307/2533008zbMath0875.62497OpenAlexW2066627012WikidataQ36680004 ScholiaQ36680004MaRDI QIDQ4335735
Publication date: 9 November 1997
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2533008
Related Items (14)
Consistency of nonparametric maximum likelihood estimation of a distribution function based on doubly interval-censored failure time data ⋮ Nonparametric estimation for doubly censored failure time data ⋮ A Bayesian MCMC approach to survival analysis with doubly-censored data ⋮ Estimation of Survivorship Function Based on Doubly Censored Data with Application to HIV/AIDS ⋮ Logrank-type tests for comparing survival curves with interval-censored data ⋮ Bayesian semiparametric inference for multivariate doubly-interval-censored data ⋮ Regression Analysis of Doubly Censored Failure Time Data with Applications to AIDS Studies ⋮ Using Conditional Logistic Regression to Fit Proportional Odds Models to Interval Censored Data ⋮ Estimation in the Cox Proportional Hazards Model with Left-Truncated and Interval-Censored Data ⋮ Semiparametric regression analysis of multivariate doubly censored data ⋮ Semiparametric regression analysis of doubly censored failure time data from cohort studies ⋮ Parametric modelling of prevalent cohort data with uncertainty in the measurement of the initial onset date ⋮ Asymptotics for non-parametric likelihood estimation with doubly censored multivariate failure times ⋮ Regression Analysis of Doubly Censored Failure Time Data with Frailty
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