[Read before The Royal Statistical Society at a meeting organized by the Research Section o
Presented at International Chinese Statistical Association 2009 Applied Statistics Symposiu
Suppose that the patients' survival times, Y, are random variables following the semiparametric...
It is often argued that estimation of semiparametric censored regression models such as the ones i
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
Abstract. Using the weighted maximum likelihood method, we propose a consistent estimation of para-m...
A normal regression situation is considered in which we have data for n+m individuals. The values de...
Cox model, Koziol-Green model, maximum partial likelihood estimator, profiled likelihood, Breslow es...
Three methods for linear regression with censored data are considered, that of Buckley & James (...
We propose three new estimation procedures in the linear regression model with randomly-right censor...
International audienceThe stratified proportional intensity model generalizes Cox's proportional int...
AbstractDoubly censored data, which include left as well as right censored observations, are frequen...
For the fixed design regression model Y-i=x(i) beta+g(t(i))+e(i), i=1, 2,..., n, when Y-i are ran...
maximum-likelihood estimation of the parameters of normal populations from singly and doubly censore...
A unified estimation procedure is proposed for the analysis of censored data using linear transforma...
Presented at International Chinese Statistical Association 2009 Applied Statistics Symposiu
Suppose that the patients' survival times, Y, are random variables following the semiparametric...
It is often argued that estimation of semiparametric censored regression models such as the ones i
AbstractThis paper considers large sample inference for the regression parameter in a partly linear ...
This paper considers large sample inference for the regression parameter in a partly linear model fo...
Abstract. Using the weighted maximum likelihood method, we propose a consistent estimation of para-m...
A normal regression situation is considered in which we have data for n+m individuals. The values de...
Cox model, Koziol-Green model, maximum partial likelihood estimator, profiled likelihood, Breslow es...
Three methods for linear regression with censored data are considered, that of Buckley & James (...
We propose three new estimation procedures in the linear regression model with randomly-right censor...
International audienceThe stratified proportional intensity model generalizes Cox's proportional int...
AbstractDoubly censored data, which include left as well as right censored observations, are frequen...
For the fixed design regression model Y-i=x(i) beta+g(t(i))+e(i), i=1, 2,..., n, when Y-i are ran...
maximum-likelihood estimation of the parameters of normal populations from singly and doubly censore...
A unified estimation procedure is proposed for the analysis of censored data using linear transforma...
Presented at International Chinese Statistical Association 2009 Applied Statistics Symposiu
Suppose that the patients' survival times, Y, are random variables following the semiparametric...
It is often argued that estimation of semiparametric censored regression models such as the ones i
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