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A Proportional Hazards Model for Arbitrarily Censored and Truncated Data
Biometrics, 1996Turnbull (1976, Journal of Royal Statistical Society, Series B 38, 290-295) proposed a method for nonparametric estimation of the distribution function when the data are incomplete because of censoring and truncation. However, as noted by Frydman (1994, Journal of Royal Statistical society, Series B 56, 71-74), Turnbull's method has to be modified to ...
Alioum, Ahmadou, Commenges, Daniel
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Linear Models, Random Censoring and Synthetic Data
Biometrika, 1987Estimators for the linear model in the presence of censoring are available. A new extension of the least-squares estimator to censored data is equivalent to applying the ordinary least-squares estimator to synthetic times, time constructed by magnifying the gaps between successive order statistics.
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Variational Bayes for Mixture Models with Censored Data
2019In this paper, we propose a variational Bayesian algorithm for mixture models that can deal with censored data, which is the data under the situation that the exact value is known only when the value is within a certain range and otherwise only partial information is available.
Masahiro Kohjima +2 more
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Likelihood-based inference in censored exponential regression models
Communications in Statistics - Theory and Methods, 2021FRANCISCO M C Medeiros, Artur Lemonte
exaly
Mixed-effects models for censored data with autoregressive errors
Journal of Biopharmaceutical Statistics, 2021Larissa Avila Matos +2 more
exaly
Modelling censored compositional data in the correct censored space
2017Leung Tak Ching, Bacon-Shone, John
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Semiparametric Censored Regression Models
Journal of Economic Perspectives, 2001Kenneth Y Chay, James L Powell
exaly
Covariance matrix of maximum likelihood estimators in censored exponential regression models
Communications in Statistics - Theory and Methods, 2020Artur Lemonte
exaly