Analysis of exposure-time-response relationships using a spline weight function.

M Hauptmann; J Wellmann; J H Lubin; P S Rosenberg; L Kreienbrock

doi:10.1111/j.0006-341x.2000.01105.x

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Analysis of exposure-time-response relationships using a spline weight function.

M Hauptmann·J Wellmann·J H Lubin·P S Rosenberg·L Kreienbrock

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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.

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Biometry Case-Control Studies Epidemiologic Methods Germany Humans Inhalation Exposure Lung Neoplasms Models, Statistical Probability Risk Factors Smoking Time Factors Journal Article

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M Hauptmann, J Wellmann, J H Lubin, P S Rosenberg, L Kreienbrock. 2000. Analysis of exposure-time-response relationships using a spline weight function.. https://doi.org/10.1111/j.0006-341x.2000.01105.x

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