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Guolo, Annamaria (2009) Measurement Error Correction in Exploiting Gene-Environment Independence in Family-Based Case-Control Studies. [Working Paper] WORKING PAPER SERIES, 15/2009 . , PADOVA (Inedito)

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Abstract (english)

Family-based case-control designs are commonly used in epidemiological studies for evaluating the role of genetic susceptibility and environmental exposure to risk factors in the etiology of rare diseases. Within this framework, it is often reasonable to assume genetic susceptibility and environmental exposure being conditionally independent of each other within families in the source population. We focus on this setting to consider the common situation of measurement error aecting the assessment of the environmental exposure. We propose to correct for measurement error through a likelihood-based method, by exploiting the conditional likelihood of Chatterjee, Kalaylioglu and Carroll (2005) to relate the probability of disease to the genetic and the mismeasured environmental risk factors. Simulation studies show that this approach provides less biased and more ecient results than that based on traditional logistic regression. The likelihood approach for measurement error correction is also compared to regression calibration, the last resulting in severely biased estimators of the parameters of interest.

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EPrint type:Working Paper
Anno di Pubblicazione:November 2009
Key Words:conditional likelihood, conditional logistic regression, family-based case-control study, gene-environment independence, measurement error, regression calibration.
Settori scientifico-disciplinari MIUR:Area 13 - Scienze economiche e statistiche > SECS-S/01 Statistica
Struttura di riferimento:Dipartimenti > Dipartimento di Scienze Statistiche
Codice ID:7156
Depositato il:15 Sep 2014 13:39
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