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Biometrika|August 20, 2013
Bayesian geostatistical modelling with informative sampling locationsD Pati, B J Reich, D B DunsonReproductive Toxicology (Elmsford, N.Y.)|January 1, 1988
Using time-to-pregnancy data to study occupational exposures: methodologyD D BairdBiometrika|June 24, 2022
Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximationW VAN DEN Boom, G Reeves, D B DunsonBiostatistics (Oxford, England)|August 23, 2003
Modelling multiple ovulation, fertilization, and embryo loss in human fertility studiesD B Dunson, C R Weinberg, A J WilcoxBiometrics|September 2, 2004
Bayesian modeling of multiple lesion onset and growth from interval-censored dataD B Dunson, C Holloman, C Calder, et al.Statistics & Probability Letters|August 21, 2019
Nonparametric Bayes modeling with sample survey weightsT Kunihama, A H Herring, C T Halpern, et al.Biometrics|April 25, 2001
Summarizing the motion of self-propelled cells: applications to sperm motilityD B Dunson, C R Weinberg, S D Perreault, et al.Occupational Medicine (Philadelphia, Pa.)|July 1, 1986
Effects of occupational exposures on the fertility of couplesD D Baird, A J WilcoxEpidemiology (Cambridge, Mass.)|November 1, 1995
The use of questionnaire data to classify peri- and premenopausal statusG S Cooper, D D BairdPageof 11