Results 261 to 270 of about 100,255 (311)

Analysis of Transformation Models with Censored Data

Biometrika, 1995
Summary: We consider a class of semi-parametric transformation models, under which an unknown transformation of the survival time is linearly related to the covariates with various completely specified error distributions. This class of regression models includes the proportional hazards and proportional odds models. Inference procedures derived from a
Cheng, S. C., Wei, L. J., Ying, Z.
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Estimation in Linear Models with Censored Data

Biometrika, 1986
Summary: Three methods for linear regression with censored data are considered; that of \textit{J. Buckley} and \textit{I. James} [Biometrika 66, 429--436 (1979; Zbl 0425.62051)], a proposed simpler nonparametric method and a normal model for censored data.
Schneider, Helmut, Weissfeld, Lisa
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Regression models for censored serological data

Journal of Medical Microbiology, 2013
The impact was assessed of censored serological measurements on regression equations fitted to data from panels of sera tested by different laboratories, for the purpose of standardizing serosurvey results to common units. Several methods that adjust for censoring were compared, such as deletion, simple substitution, multiple imputation and censored ...
George, Kafatos, Nick, Andrews, Kevin J, McConway, Paddy, Farrington   +3 more
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Median Regression Model with Interval Censored Data

Biometrical Journal, 2010
AbstractQuantile regression methods have been used to estimate upper and lower quantile reference curves as the function of several covariates. Especially, in survival analysis, median regression models to the right‐censored data are suggested with several assumptions.
Kim, Yang-J., Cho, HyungJun, Kim, Jinheum, Jhun, Myoungshic   +3 more
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Frailty Models for Arbitrarily Censored and Truncated Data

Lifetime Data Analysis, 2004
In this paper, we propose a frailty model for statistical inference in the case where we are faced with arbitrarily censored and truncated data. Our results extend those of Alioum and Commenges (1996), who developed a method of fitting a proportional hazards model to data of this kind.
Huber-Carol, C., Vonta, Filia, Huber-Carol, C., Vonta, Filia   +3 more
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Identity for the NPMLE in Censored Data Models

Lifetime Data Analysis, 1998
We derive an identity for nonparametric maximum likelihood estimators (NPMLE) and regularized MLEs in censored data models which expresses the standardized maximum likelihood estimators in terms of the standardized empirical process. This identity provides an effective starting point in proving both consistency and efficiency of NPMLE and regularized ...
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A random‐censoring Poisson model for underreported data

Statistics in Medicine, 2017
A major challenge when monitoring risks in socially deprived areas of under developed countries is that economic, epidemiological, and social data are typically underreported. Thus, statistical models that do not take the data quality into account will produce biased estimates.
Guilherme Lopes de Oliveira, Rosangela Helena Loschi, Renato Martins Assunção   +2 more
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Jeffreys priors for survival models with censored data

Journal of Statistical Planning and Inference, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
DE SANTIS, Fulvio, Julia Mortera, Alessandra Nardi   +2 more
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A Quantile Survival Model for Censored Data

Australian & New Zealand Journal of Statistics, 2013
SummaryIn this paper we propose a quantile survival model to analyze censored data. This approach provides a very effective way to construct a proper model for the survival time conditional on some covariates. Once a quantile survival model for the censored data is established, the survival density, survival or hazard functions of the survival time can
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Semi-Markov models for partially censored data

Biometrika, 1978
SUMMARY Nonparametric likelihood methods are developed for the analysis of partially censored data arising from a multistate stochastic process. It is assumed that the underlying process follows a semi-Markov model in which state changes form an embedded Markov chain and sojourn times are independent with distributions depending only on adjoining ...
Lagakos, S. W., Sommer, C. J., Zelen, M.
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