DESCRIPTION: (Adapted from investigator's abstract) In studies of AIDS and
cancer, analysis is based on survival as well as disease progression.
Patients are monitored for clinical events and longitudinally collected
laboratory and clinical information which indicate disease progression...
The goal of this research is the development of a useful approach to
analyzing multiple outcomes of progression from a study with missing and
censored data. 1) PI will develop a global test based on survival and
measures of progression including possibly censored clinical events and
longitudinal outcomes, (which may be missing). The test will be sensitive
to differences in survival and progression, and can be applied for interim
monitoring of a study. 2.) Methodology will be developed for modeling the
relationship between two clinical events indicating progression, when one of
the events may be interval censored. For this, a method will be developed
for applying the proportional hazards model for a time-varying interval-
censored covariate. 3.) A method will be developed for modeling the
relationship between (possibly missing) longitudinal measures of progression
and a (possibly censored) clinical event of progression, by applying the
methods of isotonic regression to the estimation of functions in a
generalized additive model.
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