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论文摘要：Longitudinal
data frequently occur in many studies, such as longitudinal
follow-up studies. To develop statistical methods and theory
for the analysis of these data, independent or noninformative
observation and censoring times are typically assumed, which
naturally leads to inference procedures conditional on observation
and censoring times. But in many situations this may not be
true or realistic;that is, longitudinal responses may be correlated
with observation times as well as censoring times. This article
considers the analysis of longitudinal data where these correlations
may exist and proposes a joint modeling approach that uses
some latent variables to characterize the correlations. For
inference about regression parameters, estimating equation
approaches are developed and both large-sample and finalsample
properties of the proposed estimators are established. In
addition, some graphical and numerical procedures are presented
for model checking. The methodology is applied to a bladder
cancer study that motivated this investigation.
论文题目: Regression
Analysis of Longitudinal Data in the Presence of Informative
Observation and Censoring Times
论文作者: Jianguo
SUN, 孙六全, and Dandan LIU
发表刊物: Journal
of the American Statistical Association, 2007, Vol.102, No.
480, 1397-1406
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