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prior probability

94 papers and 4 presentations; 88 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
PHUSE US 2025 Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges Jaskaran Singh Saini source
presentation source		 11
PHUSE EU 2024 Leveraging Bayesian Posterior Probability for Analysing Treatment Effects in Clinical Trials: A Statistical Programmer's Guide Vismaya Kondassam Veedu source
presentation source		 7
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
PharmaSUG 2024 Bayesian Models with the Power Prior Using PROC BGLIMM Yi Gong,
Fang K. Chen		 source 15
SESUG 2022 Invoking Survey Weights to Calculate Bayes' Factor with PROC MCMC to Generate More Generalizable Inferences Tyler Hicks,
Graham G. Rifenbark		 9
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
SGF 2020 Modelling Imbalanced Classes Humphrey Brydon source 6
PHUSE EU 2019 Dose-finding Schemes in Clinical Trials Michael Brockmann source
presentation source		 15
SESUG 2019 Old But Not Obsolete: Undocumented Procedures for SAS University Edition Barbara B. Okerson,
Independent Contractor		 source 11
SESUG 2019 Time Series Forecasting using PROC MCMC SESUG 2019 Murali Sastry,
Tyler Hicks		 source 16
WUSS 2019 Implementing the Hamiltonian Monte Carlo Sampling algorithm in PROC MCMC Elsa Vazquez Arreola source 10
PharmaSUG 2019 Bayesian Methods for Treatment Design in Rare Diseases Xuan Sun,
Ruohan Wang		 source 5
PharmaSUG 2019 Statistical Assurance in SAS: An Introduction and User-s Guide Jonathan L Moscovici,
Milena Kurtinecz		 source 8
SESUG 2018 A Flexible Approach to Computing Bayes' Factors with PROC MCMC Tyler Hicks source 9
WUSS 2018 Using PROC MCMC in a Process Control Setting: An Illustrative Example with PROC IML Austin R. Brown source 8
PHUSE US 2018 Drug-Induced Liver Injury (DILI) Classification Using FDA-Approved Drug Labeling and FAERS Data - FDA Qais Hatim source
presentation source		 31
PHUSE US 2018 Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation Qais Hatim,
Emily McRae		 source
presentation source		 24
SGF 2018 Bayesian Concepts: An Introduction John Amrhein,
Fei Wang		 source 10
SGF 2018 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
SGF 2018 The Cox Hazard Model for Claims Data Tanya Kolosova source 16
SCSUG 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
PHUSE EU 2017 How to Fit Longitudinal Data with Proc MCMC Maud Henion source
presentation source		 16
MWSUG 2017 The Cox Hazard Model for Claims Data: Bayesian non-parametric approach Samuel Berestizhevsky,
Tanya Kolosova		 17
WUSS 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
SGF 2017 Advanced Hierarchical Modeling with the MCMC Procedure Fang K. Chen,
Maura E. Stokes		 source 21
SGF 2017 Programming Weakly Informative Prior Distributions in SAS [presentation] Robert Lew,
Hongsheng Wu,
Chen-Hsiang Yu		 source 9
SESUG 2016 Mixture Priors 101: Using SAS to Obtain Powerful Frequentist Inferences with Bayesian Methods Tyler Hicks,
Jeffrey D. Kromrey		 source 8
MWSUG 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen,
Gordon Brown,
Maura E. Stokes		 27
WUSS 2016 Bayesian Concepts: An Introduction John Amrhein source 8
WUSS 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen source 27
SGF 2016 Fitting Your Favorite Mixed Models with PROC MCMC Gordon Brown,
Fang K. Chen,
Maura E. Stokes		 source 27
SGF 2015 A Case Study: Improve Classification of Rare Events with SAS Enterprise Miner Ruizhe Wang,
Novik Lee,
Yun Wei		 source
zip		 12
SGF 2015 Adaptive Randomization Using PROC MCMC Qianyi Huang,
John Amrhein		 source 13
SGF 2015 Incorporating External Economic Scenarios into Your CCAR Stress Testing Routines Kenneth Sanford,
Christian Macaro		 source 10
SGF 2015 Jeffreys Interval for One-Sample Proportion with SAS/STAT Software Wu Gong source 7
SGF 2015 Unconventional Data-Driven Methodologies Forecast Performance in Unconventional Oil and Gas Reservoirs Keith R. Holdaway,
Louis Fabbi,
Dan Lozie		 source 20
SGF 2015 Validation and Monitoring of PD Models for Low Default Portfolios Using PROC MCMC Machiel Kruger source 16
PHUSE EU 2014 Small Sample Bayesian Factor Analysis Dirk Heerweghm source
presentation source		 18
SGF 2014 Multivariate Time Series Modeling Using PROC VARMAX Anders Milhøj source 16
SGF 2014 SAS for Bayesian Mediation Analysis Miočević Milica,
David P. MacKinnon		 source 11
PHUSE EU 2013 Bayesian Statistics: Concept and Bayesian Capabilities in SAS Mark Janssens source
presentation source		 15
SGF 2013 Missing No More: Using the MCMC Procedure to Model Missing Data Fang K. Chen source 23
SGF 2013 Predicting Health Care Expenditures with the MCMC Procedure Gregory Watson source 12
SESUG 2012 Fitting Bayesian hierarchical multinomial logit models in PROC MCMC Fitting Bayesian source 8
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen		 source 20
WUSS 2011 Assessing resource adequacy uncertainty in California electricity summer demand using the MCMC procedure in SAS Enterprise MinerTM Miguel Garcia-Cerrutti source 12
WUSS 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes source 20
PHUSE EU 2011 Bayesian hypothesis testing for proportions Antonio Nieto,
Javier Gómez		 source
presentation source		 6
MWSUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen,
Ying So		 20
MWSUG 2011 The Full Monty Joe Roma,
Irvin Snider		 12
NESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes 20
PharmaSUG 2011 Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner Patricia B. Cerrito source 15
SGF 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
SGF 2011 Small Area Estimation for Survey Data Analysis Using SAS Software Pushpal K. Mukhopadhyay,
Allen McDowell		 source 19
SGF 2011 The RANDOM Statement and More: Moving On with PROC MCMC Fang K. Chen source 21
WUSS 2010 101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 Keh-Dong Shiang source 22
MWSUG 2010 Monty Hall, Paul Erdös, and Monte Carlo Irvin Snider 7
MWSUG 2010 Using the JMP 9 R Interfaces to Perform Bayesian Analyses: Why, How, and What Dave LeBlond 18
PHUSE EU 2009 Safety analysis using Bayesian simulation methods in SAS 9.2 Armin Gemperli source 8
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
PHUSE EU 2008 Statistically guided review of safety data in clinical trials Michael O'Connell,
Harry Southworth		 source 12
MWSUG 2008 Global Clinical Data Classification: A Discriminate Analysis Amurthur Ramamurthy,
Gordon Kapke,
Jodi Yoder		 16
PharmaSUG 2008 Bayesian Data Analysis Using %WinBUGS Lei Zhang 18
SGF 2008 Convergence Failures in Logistic Regression Paul D. Allison source 11
SGF 2008 Understanding Your Customer: Segmentation Techniques for Gaining Customer Insight and Predicting Risk in the Telecom Industry Glendon Cross,
Wayne Thompson		 source 14
SESUG 2007 Old But Not Obsolete: Undocumented SAS Procedures Barbara B. Okerson source 8
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
PHUSE EU 2007 Bayesian Modelling with SPLUS and the S+flex Bayes library Andrew Jack,
Dawn Woodard		 source 11
PharmaSUG 2007 SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice Shi-Tao Yeh,
Scott D Patterson		 20
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
SUGI 2006 Application of Proc Discrim and Proc Logistic in Credit Risk Modeling Jin Li source 9
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
SUGI 2005 IRT-FIT: SAS Macros for Fitting Item Response Theory (IRT) Models Robert Terry,
Sung-Hyuck Lee		 source 9
SCSUG 2004 Equipment Data Development Case Study - Bayesian Weibull Analysis Wei Yu 43
PharmaSUG 2002 Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED Chain Algorithm 6
SUGI 2002 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
VIEWS 2001 Data Mining and Statistical Models in Marketing Campaigns of BT Retail Francesco Vivarelli,
Martyn Johnson		 9
WUSS 2001 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
SEUGI 2001 Data Mining In a Zero Latency Enterprise [presentation] Philip Bosinoff source 36
PharmaSUG 2001 An Application of Continual Reassessment Method Using SAS System Naoki Ishizuka 4
NESUG 2000 How to Be a Bayesian in SAS: Model Selection Uncertainty in PROC LOGISTIC and PROC GENMOD Ernest S. Shtatland 9
MWSUG 1999 A General Gibbs Sampling Algorithm for Analyzing Linear Models Using the SAS System Jayawant N. Mandrekar,
Daniel J. Sargent,
Paul J. Novotny,
Jeff A. Sloan		 6
SUGI 1999 A General Gibbs Sampling Algorithm for Analyzing Linear Models Using the SAS System Daniel J. Sargent,
Jayawant N. Mandrekar,
Paul J. Novotny,
Jeff A. Sloan		 source
WUSS 1998 Data Warehouses and Bayesian Analysis - A Match Made by SAS Ram Gopalan source 6
NESUG 1998 Multivariate Discrimination of Categorical Data Using the SAS System Jeffrey S. Butler 8
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown		 source 24
SESUG 1996 Discriminant Analysis via Statistical Packages Carl J Huberty,
Laureen L. Lowman		 11
SEUGI 1994 Cross Validation of Nearest-neighbour Discriminant Analysis Allan White source 15
SEUGI 1993 A Bayesian Analysis for Panel Based Data Roger Owen source 11
SUGI 1993 Bayesian Statistics in SAS Software William J. Raynor Jr. source 10
SCSUG 1991 Calculating the Power Function of the Wilcoxon Rank Sum Test in 2xK Tables Mark Von Tress 7
SUGI 1989 Field Reliability Assessment Using the Proportional Hazards Model Stephen Freitas,
Raymond V. Spring		 source 5
SUGI 1985 Applications in Bayesian Analysis Arnold Zellner source 7
SUGI 1982 Robustness of Discriminant Functions Peter A. Lachenbruch source 7

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