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Welcome to the Bayesian Statistical Science Section

The Bayesian Statistical Science Section of the ASA provides a forum for statisticians and people who have interest in the Bayesian paradigm. The broad objectives of the Section are: to encourage research on theory and methods of statistical inference and decisionmaking associated with Bayes' theorem and to encourage the application and proper use of Bayesian procedures in the behavioral, biological, managerial, engineering, environmental, legal, medical, pharmaceutical, physical, and social sciences.

Current Affairs 

Upcoming Web-Based Lectures


Title: Leveraging R and Shiny for Point and Click ADaM Analysis
Presenter: Ian Fleming, D-Wise
Date and Time: Thursday, October 8, 2015, 11:00 a.m. - 12:30 p.m. Eastern time
Sponsor: Section for Statistical Programmers and Analysts

In the process of adopting CDISC standards, we have seen point and click types of tools designed around providing standard reports using SDTM data as a source. When dealing with ADaM though, there are few options. This talk will center on the attempt to build a basic point and click analysis tool using ADaM data as a source using Shiny, an R development library intended to accommodate rapid and dynamic HTML reports. The process of rapid prototyping in Shiny as well as the different reports that can be automatically generated from this tool will be discussed.


Title: Step-by-Step Guidelines for Propensity Score Weighting with More than Two Groups
Presenter: Beth Ann Griffin, RAND Corporation
Date and Time: Tuesday, October 13, 2015, 12:00 p.m. - 1:30 p.m. Eastern time
Sponsor: Mental Health Statistics Section

This webinar will provide attendees with guidance on how to implement propensity score weighting for causal inference problems with multiple (more than 2) treatments or exposure groups. Estimation of causal effects is a primary activity of many research studies. Examples include testing which state-level health policies have the biggest impact on health outcomes or determining which treatment programs (out of many) have the greatest effectiveness on substance use outcomes. Controlled experiments are the gold standard for estimating such effects. However, experiments are often infeasible, forcing analysts to rely on observational data in which treatment assignments are out of the control of the researchers. This webinar will provide step-by-step guidelines for researchers who want to implement propensity score weighting for studies involving more than 2 treatment or exposure groups. The webinar will provide a brief introduction to causal modeling using the potential outcomes framework and the use of propensity score weighting to estimate causal effects from observational data with more than 2 treatments. Then, it will present step-by-step guidelines on how to estimate and perform diagnostic checks of the estimated weights for testing the relative effectiveness of two or more interventions and how to estimate relative causal treatment effects. Code to implement the analyses in R, SAS, and Stata is available.

Title: Statistics for the World of Open Data
Presenter: Mark Elbert, Director, Office of Web Management, Energy Information Administration and Jay Meisenheimer, Chief, Division of New Media, Bureau of Labor Statistics
Date and Time: Tuesday, October 20, 2015, 3:00 p.m. - 4:00 p.m. Eastern time
Sponsor: American Statistical Association and the Association of Public Data Users

In commemoration of World Statistics Day, Mark Elbert of the Energy Information Administration (EIA) and Jay Meisenheimer of the Bureau of Labor Statistics (BLS) will talk about the exciting innovate ways their agencies are making their data available to the public to make it more accessible, insightful, and appealing. Meisenheimer will discuss how BLS uses data visualizations to tell interesting stories about the labor market and economy and Elbert will discuss how EIA uses relational metadata to create a data-ecosystem of interlinked online query tools, interactive charts and maps, and a robust open data program.  


*** More information and registration at the webinar page.


From the SBSS Mixer at JSM 2015


Ed George with Savage finalists

SBSS student paper award winners


Nimar Arora - Mitchell Prize Recipient


David Dahl  and Leo Duan



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