title: Analysis of exposure-time-response relationships using a spline weight function.
abstract: 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.
authors: GSF National Research Center for Environment and Health, Institute of Epidemiology, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany. hauptmann@nih.gov
authors: M
authors: M
authors: Hauptmann
authors: J
authors: J
authors: Wellmann
authors: J H
authors: JH
authors: Lubin
authors: P S
authors: PS
authors: Rosenberg
authors: L
authors: L
authors: Kreienbrock
mesh_terms: D001699:Biometry / Q000379:methods*; D016022:Case-Control Studies; D004812:Epidemiologic Methods; D005858:Germany; D006801:Humans; D019570:Inhalation Exposure; D008175:Lung Neoplasms / Q000453:epidemiology*; D015233:Models, Statistical; D011336:Probability; D012307:Risk Factors; D012907:Smoking / Q000009:adverse effects*; D013997:Time Factors