title: Analysis of time-to-pregnancy data.
abstract: Statistical models for time-to-pregnancy data are usually formulated in discrete time. Two approaches were surveyed, including methods of accounting for both known heterogeneity (covariates, possibly time-dependent) and unknown heterogeneity (frailty). Delicate censoring and truncation patterns arose for prospective and, particularly, retrospective sampling designs. The inclusion of several pregnancies per couple presents new challenges and possibilities.
authors.affiliation: Department of Biostatistics, Institute of Public Health, University of Copenhagen, Denmark. N.Keiding@biostat.ku.dk
authors.forename: N
authors.initials: N
authors.lastname: Keiding
mesh_terms: D003430:Cross-Sectional Studies; D005260:Female; D005298:Fertility; D006801:Humans; D015233:Models, Statistical; D011247:Pregnancy / Q000706:statistics & numerical data*; D011446:Prospective Studies; D012189:Retrospective Studies; D016019:Survival Analysis