Analysis of exposure-time-response relationships using a spline weight function.
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.
Hauptmann
M
M
GSF National Research Center for Environment and Health, Institute of Epidemiology, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany. hauptmann@nih.gov
Wellmann
J
J
Lubin
J H
JH
Rosenberg
P S
PS
Kreienbrock
L
L
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