Bayesian Scientific Working Group (BSWG)

The BSWG exists to promote research, education, and collaboration in the field of Bayesian statistics. In line with this mission, we provide activities of interest to statistical practitioners from academia, industry, and regulatory agencies. These include short courses, webinars, seminars, and working group sessions on Bayesian theory and methodology applications relevant to the design and analysis of clinical or observational studies.

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Mission and Activities

  • Promote Bayesian statistics in the pharmaceutical industry
  • Advance the development of new Bayesian methods in clinical research
  • Encourage collaboration between statisticians and researchers in academia, industry, and regulatory bodies


Current Officers

  • Chair: Pritibha Singh
  • Vice-Chair: Melissa Spann
  • Advisors: Karen Price; Amy Xia; Fanni Natanegara; Freda Cooner
  • Co-Secretaries: Spencer Woody; Hao Sun
  • Next-Generation Officer: Jane Lin
  • KOL Lecture Series Organizers: Haijun Ma; Mathangi Gopalakrishnan; Freda Cooner
  • Publication Chair: (Position open)
  • Webmasters: Melvin Munsaka; Spencer Woody; Haijun Ma

Goals

Currently, most BSWG members are in the United States; however, the BSWG desires to expand its global presence to enhance relationships with local partners and facilitate leveraging geographical diversity. To grow BSWG’s global scientific presence, the leadership plans to prioritize networking and collaborating with scientific working groups across continents, establishing an online presence, and actively engaging with social media. Furthermore, BSWG members are encouraged to continue publishing research in global forums and sharing their expertise in these international forums.

 

Sub-teams:

The BSWG consists of the following sub-teams and leaders, each with a broad scope and a commitment to long-term progress.

 

Sub-team

  Sub-team leader

Safety

Karen Price Amy Xia

  Melvin Munsaka

Non-inferiority

  Mani Lakshminarayanan

Joint Modeling

  Larry Gould

Missing Data

  Jiajun Liu

Benefit-Risk

Madhurima Majumder Carl DiCasoli

Best Practice

Fanni Natanegara Cory Heilmann

Real World Evidence

  Mani Lakshminarayanan

COVID-19

  Joan Buenconsejo

Use of historical data/prior specification

  Satrajit Roychoudhury

Reporting/Tools

Mani Lakshminarayanan Melvin Munsaka

Program-wide Decision Making

Bin Yao Karen Price

Education

  Fanni Natanegara

Medicine Adaptive Pathway to Patients (MAPPs)

Larry Gould Bob Campbell

Medical Outreach

Natalia Muhlemann Purvi Prajapati

Non-Clinical Bayesian Discovery Workstreams

  Yushi Liu

  Tony Pourmohamad

Adaptive Design Survey

  Amy Lalonde

Decentralized Clinical (DCTs)

  Pritibha Singh

 

For more information and details on ongoing activities within each Sub-team, click on this link.