A New Approach to Modeling Daily Probabilities of Conception

DOI10.1111/j.0006-341X.1999.01005.xzbMath1059.62703WikidataQ52065202 ScholiaQ52065202MaRDI QIDQ4668294

Alberto Ferreira, Patrick Royston

Publication date: 18 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

logistic regressionfractional polynomialsrandom-effects modelsfertility modelsconception probabilities

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (7)

Statistical models for human fecundability ⋮ Statistical models for human fecundability ⋮ Bayesian Inferences on Predictors of Conception Probabilities ⋮ Heterogeneity in fecundability studies: issues and modelling ⋮ Cervical mucus symptom and daily fecundability: first results from a new database ⋮ A Bayesian joint model of menstrual cycle length and fecundity ⋮ Bayesian Modeling of the Level and Duration of Fertility in the Menstrual Cycle

Uses Software

• Stata

Cites Work

• Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
• Inference from iterative simulation using multiple sequences
• Modeling Conception as an Aggregated Bernoulli Outcome with Latent Variables via the EM Algorithm
• A Random-Effects Model for Cycle Viability in Fertility Studies
• Models Relating the Timing of Intercourse to the Probability of Conception and the Sex of the Baby
• Contemporary Bayesian Econometrics and Statistics

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