Bayesian Inferences on Predictors of Conception Probabilities

DOI10.1111/j.0006-341X.2005.031231.xzbMath1077.62106WikidataQ48496574 ScholiaQ48496574MaRDI QIDQ5715360

Joseph B. Stanford, David B. Dunson

Publication date: 3 January 2006

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

Random effectpregnancyGamma frailtyAggregated BernoulliData augmentation algorithmDiscrete event timeEuropean fecundability studyHuman fertilityNonlinear mixed model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (9)

Dual-semiparametric regression using weighted Dirichlet process mixture ⋮ Joint modeling of intercourse behavior and human fecundability using structural equation models ⋮ Semiparametric Bayes Multiple Testing: Applications to Tumor Data ⋮ Bayesian Density Regression ⋮ Heterogeneity in fecundability studies: issues and modelling ⋮ Cervical mucus symptom and daily fecundability: first results from a new database ⋮ Estimating causal effects from multiple cycle data in studies of in vitro fertilization ⋮ A Bayesian joint model of menstrual cycle length and fecundity ⋮ Bayesian Proportional Odds Models for Analyzing Current Status Data: Univariate, Clustered, and Multivariate

Cites Work

• Bayesian reduced rank regression in econometrics
• Bayesian Modeling of the Level and Duration of Fertility in the Menstrual Cycle
• Monte Carlo methods for Bayesian analysis of constrained parameter problems
• A Bayesian perspective on the Bonferroni adjustment
• Bayesian Modeling of Markers of Day-Specific Fertility
• A New Approach to Modeling Daily Probabilities of Conception

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