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bayesian statistics

51 papers and 5 presentations; 50 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 2026 An RShiny App for Real-Time Continuous Safety Monitoring in Post-POC Trials: A Bayesian Approach to Decision-Making Jinquan Wu source
presentation source
11
PHUSE EU 2025 Bayesian Inference for Medical Device Reliability: Improving Safety and Effectiveness Assessments Shrutimita Pokhariyal source
presentation source
7
PHUSE EU 2025 Fit-For-Purpose Approach of RBQM in Small Clinical Trials [presentation] Alicja Mark,
Agnes Verhoeven
source 15
MWSUG 2025 Logistic Regression Odyssey on a Small Sample Due to Rare Cancer [presentation] Brandy R. Sinco,
Jessie Dalman,
Tasha Hughes
source 46
PHUSE US 2025 Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis Navneet Jha source
presentation source
11
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
SESUG 2022 Invoking Survey Weights to Calculate Bayes' Factor with PROC MCMC to Generate More Generalizable Inferences Tyler Hicks,
Graham G. Rifenbark
9
PharmaSUG 2021 BAYESIAN Approach on COVID-19 test results Vidya Srinivas,
Ankita Sharma
source 4
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf
25
SGF 2020 Fitting Statistical Models with PROC MCMC Mark Ghamsary source 26
SGF 2020 Recent Developments in Survival Analysis with SAS Software G. Gordon Brown source 9
PharmaSUG 2019 Bayesian Methods for Treatment Design in Rare Diseases Xuan Sun,
Ruohan Wang
source 5
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
WUSS 2016 Bayesian Concepts: An Introduction John Amrhein source 8
SGF 2016 Applying Frequentist and Bayesian Logistic Regression to MOOC data in SAS: a Case Study Yan Zhang,
Ryan Baker,
Yoav Bergner
source
presentation
7
SGF 2016 Bayesian Inference for Gaussian Semiparametric Multilevel Models Jason Bentley,
Cathy Yuen Yi Lee
source
zip
19
SGF 2016 MCMC in SAS: From Scratch or by PROC Chelsea Lofland source 19
WUSS 2015 SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data Maura E. Stokes source 25
SGF 2015 Encore: Introduction to Bayesian Analysis Using SAS/STAT Maura E. Stokes source 25
SGF 2015 Jeffreys Interval for One-Sample Proportion with SAS/STAT Software Wu Gong source 7
SGF 2015 SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data Maura E. Stokes,
Bob Rodriguez
source 25
SGF 2015 To Believe or Not To Believe? The Truth of Data Analytics Results [presentation] Mike Hardin source 71
PHUSE EU 2014 Small Sample Bayesian Factor Analysis Dirk Heerweghm source
presentation source
18
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen
source 13
SGF 2014 An Introduction to Bayesian Analysis with SAS/STAT Software Maura E. Stokes,
Fang K. Chen,
Funda Güneş
source 25
SGF 2014 SAS/STAT 13.1 Round-Up Bob Rodriguez,
Maura E. Stokes
source 25
WUSS 2013 Simulation in SAS with Comparisons to R Chelsea Lofland,
Rebecca Ottesen
source 25
PHUSE EU 2013 Bayesian Statistics: Concept and Bayesian Capabilities in SAS Mark Janssens source
presentation source
15
PharmaSUG 2013 Bayesian Analysis of Survival Data with SAS PHREG Procedure Ryan Brady source 8
SGF 2013 Markov Chains and Zeros in My Data: Bayesian Approaches in SAS That Address Zero Inflation Matthew Russell source 9
SGF 2013 Predicting Health Care Expenditures with the MCMC Procedure Gregory Watson source 12
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
MWSUG 2012 Testing the Bayesian Suite of SAS Procedures using Ecological Data and Comparing Simulations with WinBUGS Matthew Russell 8
WUSS 2012 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell
source 22
SGF 2012 Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods Joseph C. Gardiner source 15
WUSS 2011 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
SGF 2011 Up To Speed With Categorical Data Analysis Gary G. Koch,
Maura E. Stokes
source 25
MWSUG 2010 Using the JMP 9 R Interfaces to Perform Bayesian Analyses: Why, How, and What Dave LeBlond 18
SGF 2010 Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments Joseph C. Gardiner source 23
NESUG 2009 Why We Need a Bayesian Approach to Early Detection of Epidemic Outbreaks and Financial Bubbles Using First-Order Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland
12
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
PharmaSUG 2008 Bayesian Data Analysis Using %WinBUGS Lei Zhang 18
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 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez
source 32
WUSS 1998 Data Warehouses and Bayesian Analysis - A Match Made by SAS Ram Gopalan source 6
SEUGI 1996 Backtesting or backestimating: an overview Gerhard Stahl source 7
SEUGI 1993 A Bayesian Analysis for Panel Based Data Roger Owen source 11
SUGI 1985 Applications in Bayesian Analysis Arnold Zellner source 7

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