Journal
BIOMETRICS
Volume 56, Issue 4, Pages 1105-1108Publisher
WILEY
DOI: 10.1111/j.0006-341X.2000.01105.x
Keywords
bootstrap; case-control study; exposure history; exposure-time-response analysis; latency; lung cancer; smoking; splines; time since exposure; timing of exposure
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To examine the time-dependent effects of exposure histories on disease, we estimate a weight function within a generalized linear model. The shape of the weight function, which is modeled as a cubic B-spline, gives information about the impact of exposure increments at different times on disease risk. The method is evaluated in a simulation study and is applied to data on smoking histories and lung cancer from a recent case-control study in Germany.
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