On the validity of the case-time-control design for autocorrelated exposure histories
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On the validity of the case-time-control design for autocorrelated exposure histories. / Jensen, Aksel Karl Georg; Gerds, Thomas Alexander; Weeke, Peter; Torp-Pedersen, Christian; Andersen, Per Kragh.
In: Epidemiology (Cambridge, Mass.), Vol. 25, No. 1, 01.2014, p. 110-3.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - On the validity of the case-time-control design for autocorrelated exposure histories
AU - Jensen, Aksel Karl Georg
AU - Gerds, Thomas Alexander
AU - Weeke, Peter
AU - Torp-Pedersen, Christian
AU - Andersen, Per Kragh
PY - 2014/1
Y1 - 2014/1
N2 - The case-time-control design is an extension of the case-crossover design capable of handling time trends in the exposure of the general population. Time-invariant confounders are controlled for by the design itself. The idea is to compare the exposure status of a person in one or several reference periods during which no event occurred with the exposure status of the same person in the index period where the event occurred. By comparing case-crossover results in cases to case-crossover results in controls, the exposure-outcome association can be estimated by conditional logistic regression. We review the mathematical assumptions underlying the case-time-control design and examine sensitivity to deviations from the assumed independence of within-individual exposure history. Results from simulating various scenarios suggest that the design is quite robust to deviations from this model assumption. In addition, we show that changes in exposure probability over time can be modeled in a flexible way using splines.
AB - The case-time-control design is an extension of the case-crossover design capable of handling time trends in the exposure of the general population. Time-invariant confounders are controlled for by the design itself. The idea is to compare the exposure status of a person in one or several reference periods during which no event occurred with the exposure status of the same person in the index period where the event occurred. By comparing case-crossover results in cases to case-crossover results in controls, the exposure-outcome association can be estimated by conditional logistic regression. We review the mathematical assumptions underlying the case-time-control design and examine sensitivity to deviations from the assumed independence of within-individual exposure history. Results from simulating various scenarios suggest that the design is quite robust to deviations from this model assumption. In addition, we show that changes in exposure probability over time can be modeled in a flexible way using splines.
KW - Case-Control Studies
KW - Cohort Studies
KW - Computer Simulation
KW - Cross-Over Studies
KW - Epidemiologic Research Design
KW - Humans
KW - Time Factors
U2 - 10.1097/EDE.0000000000000001
DO - 10.1097/EDE.0000000000000001
M3 - Journal article
C2 - 24257508
VL - 25
SP - 110
EP - 113
JO - Epidemiology
JF - Epidemiology
SN - 1044-3983
IS - 1
ER -
ID: 134781240