Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/112243/1/sim6534.pd
Multivariate interval-censored failure time data arise commonly in many studies of epidemiology and ...
We consider the random design nonparametric regression problem when the response variable is subject...
In this thesis, we concern about some issues in survival data with censored covariates. In the fi...
We develop an approach, based on multiple imputation, that estimates the marginal survival distribut...
When the event time of interest depends on the censoring time, conventional two-sample test methods,...
We propose a non-parametric multiple imputation scheme, NPMLE imputation, for the analysis of interv...
Most existing survival analysis methods work under the assumption that censoring times are independe...
In survival analysis, censored observations can be regarded as missing event time data. For analysis...
We develop an approach, based on multiple imputation, to using auxiliary variables to recover inform...
Independent censoring is a crucial assumption in survival analysis. However, this is imprac-tical in...
This thesis presents a new model and method of analysis for survival time data which can be right an...
This paper discusses the nonparametric analysis of interval and partly interval censored data, which...
Background. Left-, right-, and interval-censored time-to-event data arise in a variety of settings. ...
This dissertation deals with right-censored data in survival analysis, where the dependent censoring...
This paper introduces a novel approach to making inference about the regression parameters in the ac...
Multivariate interval-censored failure time data arise commonly in many studies of epidemiology and ...
We consider the random design nonparametric regression problem when the response variable is subject...
In this thesis, we concern about some issues in survival data with censored covariates. In the fi...
We develop an approach, based on multiple imputation, that estimates the marginal survival distribut...
When the event time of interest depends on the censoring time, conventional two-sample test methods,...
We propose a non-parametric multiple imputation scheme, NPMLE imputation, for the analysis of interv...
Most existing survival analysis methods work under the assumption that censoring times are independe...
In survival analysis, censored observations can be regarded as missing event time data. For analysis...
We develop an approach, based on multiple imputation, to using auxiliary variables to recover inform...
Independent censoring is a crucial assumption in survival analysis. However, this is imprac-tical in...
This thesis presents a new model and method of analysis for survival time data which can be right an...
This paper discusses the nonparametric analysis of interval and partly interval censored data, which...
Background. Left-, right-, and interval-censored time-to-event data arise in a variety of settings. ...
This dissertation deals with right-censored data in survival analysis, where the dependent censoring...
This paper introduces a novel approach to making inference about the regression parameters in the ac...
Multivariate interval-censored failure time data arise commonly in many studies of epidemiology and ...
We consider the random design nonparametric regression problem when the response variable is subject...
In this thesis, we concern about some issues in survival data with censored covariates. In the fi...
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