PMID: 16615654Apr 18, 2006Paper

Heterogeneity in fecundability studies: issues and modelling

Statistical Methods in Medical Research
René Ecochard

Abstract

Modelization of fecundability stepped recently from demography and population-based contexts to reproductive biology and treatment of infertility. This created a strong call for flexibility and robustness. Indeed, explained and unexplained heterogeneities are non-negligible sources of bias that result in false conclusions as to the determinants of fertility or to the success rates of reproductive techniques, among other examples. There are two main sources of heterogeneity: biological heterogeneity and heterogeneity of sexual behaviour. A uniform presentation of time-to-pregnancy and Barrett-Marshall models is proposed to enlighten their similarities and differences in modelling heterogeneity of fecundability. Mixed models for fecundability studies are presented as tools to allow for unexplained heterogeneity and to quantify heterogeneity of the effect of observed factors and variability of size of this unexplained heterogeneity between subpopulations. Some criteria for the modelling strategy in fecundability studies are suggested with emphasis on the unit-treatment additivity criterion. The strong and complex selection process resulting from heterogeneity is described as well as the selection and cross-selection processes of o...Continue Reading

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Citations

Mar 1, 2012·Statistical Methods in Medical Research·Alexander C McLainGermaine M Buck Louis
Jan 17, 2012·American Journal of Epidemiology·Donna D Baird, Anne Z Steiner
Aug 12, 2008·Statistics in Medicine·Sofia DiasAndy Vail
Aug 22, 2015·Biometrics·Kirsten J LumThomas A Louis
Nov 19, 2019·Biometrical Journal. Biometrische Zeitschrift·Rik van EekelenNan van Geloven
Dec 1, 2012·Bayesian Analysis·Sungduk KimCecilia Pyper
Sep 7, 2021·Population Studies·Daniel Ciganda, Nicolas Todd

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