DESCRIPTION : (Adapted from the Applicant's Abstract): The investigators
propose to continue the development of two classes of statistical methods
relevant to cancer epidemiology involving extended exposure histories and
temporal modifying factors. One aim concerns design aspects of sampling
within a cohort and the other concerns the analysis of
exposure-time-response relationships. These two broad aims have remained
unchanged since the beginning of the grant. But, as time has progressed,
attention has been narrowed to particularly fruitful topics.
Design and analysis methods for sampled cohort data. Much of the work in
the last grant cycle was devoted to building a theoretical foundation for
the analysis of a broad class of nested case-control studies designs. This
work has resulted in some important innovations both in the design and
analysis of matched and nested case-control studies and the investigators
intend to continue along these lines in this grant cycle. They further wish
to expand the theoretical developments to methods for case-cohort designs
and unmatched case-control studies.
Methods of exposure-time-response modeling. Methods have been developed for
describing exposure-response relationships for extended time-dependent
exposure histories, taking into account the modifying effect of time-related
variables such as age at exposure and latency. During this grant cycle the
investigators intend to develop descriptive methods for visualizing
time-modifying effects, develop methods to test the "additvity of risk"
assumption commonly made in models for latency, and develop estimators of
absolute risk for time-dependent exposures for cohort and nested
case-control data.
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