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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 decision making 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: The New European Union General Data Protection Regulation: Implications for Data Privacy and Research Activities for the United States
Presenters: Stefan Bender, Head of Research Data and Service Center, Deutsche Bundesbank, Vice-Chair of the German Data Forum and Edward Bartlett, International Human Research Liaison, Office for Human Research Protections, US Department of Health and Human Services
Date and Time: Thursday, January 28, 2016, 12:00 p.m. - 1:00 p.m. Eastern time
Sponsor: ASA Privacy and Confidentiality Committee

Registration Deadline: Wednesday, January 27, at 12:00 p.m. Eastern time

Description:
This webinar provides attendees with insights into the new Data Protection Regulation adopted by the European Union (EU) and the policy and regulatory issues facing researchers in the United States. The first part of the presentation will focus on what the new protections are that affect the collection and processing of personal data, and the policy drivers that led to the need to revise the existing privacy directive. The second part of the presentation will focus on the policy and regulatory issues facing researchers in the United States. 

  

Title: Bayesian Methods for Evidence Synthesis and Network Meta-Analysis
Presenter: Brad Carlin, Division of Biostatistics, University of Minnesota
Date and Time: Thursday, February 18, 2016, 1:00 p.m. - 3:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section and Section

Registration Deadline: Tuesday, February 16, at 12:00 p.m. Eastern time

Description:
As the era of "big data" arrives in full force for health care and pharmaceutical development, researchers in these areas must turn to increasingly sophisticated statistical tools for their proper analysis. Bayesian statistical methods, while dating in principle to the publication of Bayes' Rule in 1763, have only recently begun to see widespread practical application, due to advances in computation and software and increasing encouragement from regulatory authorities. This two-hour webinar introduces modern Bayesian methods and software for evidence synthesis and network meta-analysis (NMA). In particular, we show how Bayesian methods can facilitate borrowing of strength across treatments, trials, and outcomes (say, both safety and efficacy), as well as provide a natural framework for filling in missing data values that respect the underlying correlation structure in the data. Our discussion will cover both contrast- and arm-based approaches to NMA, ranking of treatments, adjusting for confounders, handling individual-level patient data, and checking for network inconsistency. Time permitting, we tie in recent advances in adaptive incorporation of historical data, both randomized and observational, and indicate the approach's value in evaluating treatments for rare and pediatric diseases.

 

  *** 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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