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Bruno Scarpa

Showing results (1-10 of 60) with videos related to

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Frontiers in Public Health|June 3, 2016
Bayesian Inference on Predictors of Sex of the BabyBruno Scarpa
Biodemography and Social Biology|February 18, 2020
Assessing heterogeneity in menstrual cycles by means of a multilevel latent class approachFrancesca Bassi, Bruno Scarpa
Methods in Molecular Biology (Clifton, N.J.)|April 19, 2022
Learning in Medicine: The Importance of Statistical ThinkingMassimiliano Russo, Bruno Scarpa
Paediatric and Perinatal Epidemiology|October 26, 2006
Bayesian selection of predictors of conception probabilities across the menstrual cycleBruno Scarpa, David B Dunson
Statistics in Medicine|March 1, 2007
Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancyBruno Scarpa, David B Dunson
Journal of the American Statistical Association|July 1, 2014
Enriched Stick Breaking Processes for Functional DataBruno Scarpa, David B Dunson
Biometrics|January 29, 2009
Bayesian hierarchical functional data analysis via contaminated informative priorsBruno Scarpa, David B Dunson
Statistical Methods in Medical Research|April 12, 2017
A composite likelihood approach to predict the sex of the babySimone Tiberi, Bruno Scarpa, Nicola Sartori
Biostatistics (Oxford, England)|April 20, 2010
Sequential predictions of menstrual cycle lengthsPaola Bortot, Guido Masarotto, Bruno Scarpa
Population Studies|March 30, 2018
A mortality model based on a mixture distribution functionStefano Mazzuco, Bruno Scarpa, Lucia Zanotto
Pageof 6

Showing results (1-10 of 60) with videos related to

Sort By:
Pageof 6
Frontiers in Public Health|June 3, 2016
Bayesian Inference on Predictors of Sex of the BabyBruno Scarpa
Biodemography and Social Biology|February 18, 2020
Assessing heterogeneity in menstrual cycles by means of a multilevel latent class approachFrancesca Bassi, Bruno Scarpa
Methods in Molecular Biology (Clifton, N.J.)|April 19, 2022
Learning in Medicine: The Importance of Statistical ThinkingMassimiliano Russo, Bruno Scarpa
Paediatric and Perinatal Epidemiology|October 26, 2006
Bayesian selection of predictors of conception probabilities across the menstrual cycleBruno Scarpa, David B Dunson
Statistics in Medicine|March 1, 2007
Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancyBruno Scarpa, David B Dunson
Journal of the American Statistical Association|July 1, 2014
Enriched Stick Breaking Processes for Functional DataBruno Scarpa, David B Dunson
Biometrics|January 29, 2009
Bayesian hierarchical functional data analysis via contaminated informative priorsBruno Scarpa, David B Dunson
Statistical Methods in Medical Research|April 12, 2017
A composite likelihood approach to predict the sex of the babySimone Tiberi, Bruno Scarpa, Nicola Sartori
Biostatistics (Oxford, England)|April 20, 2010
Sequential predictions of menstrual cycle lengthsPaola Bortot, Guido Masarotto, Bruno Scarpa
Population Studies|March 30, 2018
A mortality model based on a mixture distribution functionStefano Mazzuco, Bruno Scarpa, Lucia Zanotto
Pageof 6