Statistical models for human fecundability

DOI10.1191/0962280206SM438OAzbMath1149.62334OpenAlexW2051449912WikidataQ47211750 ScholiaQ47211750MaRDI QIDQ3533311

Haibo Zhou

Publication date: 23 October 2008

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/0962280206sm438oa

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12)

Cites Work

• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• A semi-parametric mixture model in fertility studies
• Bayesian Modeling of the Level and Duration of Fertility in the Menstrual Cycle
• Modeling Conception as an Aggregated Bernoulli Outcome with Latent Variables via the EM Algorithm
• Estimating Cycle Pregnancy Probability with Incomplete Data in Contraceptive Studies
• Bayesian Modeling of Markers of Day-Specific Fertility
• A Scaled Linear Mixed Model for Multiple Outcomes
• A New Approach to Modeling Daily Probabilities of Conception
• Models Relating the Timing of Intercourse to the Probability of Conception and the Sex of the Baby
• Modelling multiple ovulation, fertilization, and embryo loss in human fertility studies
• A hierarchical Bayesian approach to modeling embryo implantation following in vitro fertilization
• Fondements théoriques des mesures de la fécondité naturelle

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