Results 221 to 230 of about 144,202 (264)

Multivariate Survival Data With Censoring

2008
We define a new class of models for multivariate survival data, in continuous time, based on a number of cumulative hazard functions, along the lines of our family of models for correlated survival data in discrete time [Gross and Huber-Carol (2000, 2002)]. This family is an alternative to frailty and copula models.
Huber, Catherine, Gross, Shulamith
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Renovated Scatterplots for Censored Data

Biometrika, 1995
Summary: In simple linear regression where the response variable has been subject to right-censoring, censored points in the scatterplot of observed data are moved vertically to create a renovated scatterplot where the bias of censoring is removed. The relationship to least squares estimation and the effect on regression diagnostics are examined in the
Smith, Peter J., Zhang, J.
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Median Regression with Censored Cost Data

Biometrics, 2002
Because of the skewness of the distribution of medical costs, we consider modeling the median as well as other quantiles when establishing regression relationships to covariates. In many applications, the medical cost data are also right censored. In this article, we propose semiparametric procedures for estimating the parameters in median regression ...
Bang, Heejung, Tsiatis, Anastasios A.
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Bayesian Quantile Regression for Censored Data

Biometrics, 2013
AbstractSummaryIn this paper we propose a semiparametric quantile regression model for censored survival data. Quantile regression permits covariates to affect survival differently at different stages in the follow‐up period, thus providing a comprehensive study of the survival distribution.
Reich, Brian J., Smith, Luke B.
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Hazard Regression with Interval-Censored Data

Biometrics, 1997
In a recent paper, Kooperberg, Stone, and Truong (1995a) introduced hazard regression (HARE), in which linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data and one or more covariates.
Kooperberg, Charles, Clarkson, Douglas B.   +1 more
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A Goodness of Fit Test for Censored Data

Communications in Statistics - Simulation and Computation, 1974
The treatment of censored data problems has been restricted almost exclusively to estimation of parameters. In this paper a goodness of fit test is presented for a completely specified distribution in which the single sample is censored at the kth ordered statistic (k < n), commonly known as Type II censored sample (David, 1970) , The technique is an ...
Lurie, D., Hartley, H. O., Stroud, M. R.
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On estimating equations with censored data

Biometrika, 1986
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Identifiability and censored data

Biometrika, 2003
Summary: It is well known that, without the assumption of independence between two nonnegative random variables \(X\) and \(Y\), the survival function of \(X\) is not identifiable on the basis of the joint distribution function of \(Z = \min(X, Y)\) and \(\delta = I(Z = Y)\).
Ebrahimi, Nader, Molefe, Daniel, Ying, Zhiliang   +2 more
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Permutation procedures with censored data

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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