Pooling data from multiple cohort studies on diet and cancer has the advantage that it allows detailed cross-validation of relative risk estimates between different study populations.
If there is reasonable agreement between cohort-specific relative risk estimates, a more powerful pooled summary estimate can be obtained.
A complication, however, is that in different cohorts, relative risk estimates may be biased to a different degree as a result of errors in the baseline assessments of habitual dietary intake levels.
Such divergent biases can be adjusted for by means of « calibration » studies, using standardized reference measurements obtained in a subgroup of each cohort.
These adjustments entail a cost, however, in terms of an increase in the confidence interval of relative risk estimates within each cohort separately.
In this paper, the authors evaluate the possible magnitude of such intracohort losses in precision and discuss the approximate sample size required to have a sufficient level of accuracy in dietary calibration studies to adjust for bias.
Am J Epidemiol 1995 ; 142 : 557-65.
Mots-clés Pascal : Consommation alimentaire, Comportement alimentaire, Alimentation, Etude cohorte, Analyse statistique, Méthode étude, Echantillonnage
Mots-clés Pascal anglais : Food intake, Feeding behavior, Feeding, Cohort study, Statistical analysis, Investigation method, Sampling
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 95-0504649
Code Inist : 002B29B. Création : 01/03/1996.