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Analysis of Exposure-Time-Response Relationships Using a Spline Weight Function.
Biometrics 56, 1105-1108 (2000)
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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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Bootstrap Case-control study Exposure history Exposure-time-response analysis Latency Lung cancer Smoking Splines Time since exposure Timing of exposure
ISSN (print) / ISBN
0006-341X
e-ISSN
1541-0420
Zeitschrift
Biometrics
Quellenangaben
Band: 56,
Seiten: 1105-1108
Verlag
Oxford University Press
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)