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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 Events at JSM 2016

SBSS will be sponsoring over fifty invited, topic and contributed sessions at JSM 2016.

The full program for the 2016 Joint Statistical Meeting is available here.

 

SBSS business meeting                     

Tuesday, August 2  - 5:30PM to 7:30PM

H-Stevens Salon A3

  

Short Courses                                  

Tuesday, August 2 - 8:30AM to 5:00PM

Adaptive Methods for Modern Clinical Trials (ADDED FEE) — Professional Development Continuing Education Course

Instructor(s): Frank Bretz, Novartis Pharma, Byron Jones, Novartis Pharma, Peter Mueller, The University of Texas at Austin


Roundtables                                     

 

Monday, August 1  - 7:00AM to 8:15AM

Section on Bayesian Statistical Science A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion


Section on Bayesian Statistical Science
Organizer(s): Tanzy Love, University of Rochester
ML01: Bayesian Nonparametric Methods for Regression Modeling Athanasios Kottas, University of California at Santa Cruz

 

Monday, August 1 - 12:30PM to 1:50PM

Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion


Section on Bayesian Statistical Science
Organizer(s): Tanzy Love, University of Rochester
ML10: Bayesian Model Selection Philip Dawid, University of Cambridge

 

Tuesday, August 2  - 12:30PM to 1:50PM

Section on Bayesian Statistical Science P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion


Section on Bayesian Statistical Science
Organizer(s): Tanzy Love, University of Rochester
TL11: Why Popular Bayesian Nonparametric Methods Fail for High-Dimensional Clustering Tasks Rebecca Steorts, Duke University

 

Upcoming Web-Based Lectures

Title: Best Practices in Data Analysis
Presenter: Abhjit Dasgupta
Date and Time: Wednesday, September 14, 2016, 12:00 p.m. - 1:30 p.m. Eastern time
Sponsor: Section for Statistical Programmers and Analysts

Registration Deadline: Monday, September 12, at 12:00 p.m. Eastern time

Description:
The rise of data science has made acquiring, storing, manipulating, analyzing and reporting data much more commonplace. The data science pipeline has several points where errors can hide. Moreover, often the data analyst must come back to an analysis after a period of time and has to spend time to re-learn what he had earlier done. Several best practices have become established to catch and minimize errors, improve reproducibility, and allow the pipeline to run smoothly. I will address several best practices in data science using packages and code from the R ecosystem, including data storage, data classes and types, coding practices, error checking, modular programming, and reproducible reporting. At least a familiarity with R code will be expected.  

   

Title: An Overview of Statistical Considerations in Clinical Validation of Companion Diagnostic Devices of Precision Medicine
Presenter: Meijuan Li, FDA
Date and Time: Thursday, September 15, 2016, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Tuesday, September 13, at 12:00 p.m. Eastern time

Description:
A key component of precision medicine is companion diagnostics that measure biomarkers e.g. protein expression, gene amplification or specific mutations. For example, most of the recent attention concerning molecular cancer diagnostics has been focused on the biomarkers of response to therapy, such as KRAS mutations in metastatic colorectal cancer, EGFR mutations in advanced Non-small cell lung cancer, and BRAF mutations in metastatic malignant melanoma. The presence or absence of these markers is directly linked to the response rates of particular targeted therapies with small-molecule kinase inhibitors or antibodies. Therefore, testing for these markers has become a critical step in the target therapy of the above-mentioned tumors. A companion diagnostic device is essential for the safe and effective use of a corresponding therapeutic product. The validation of a new companion diagnostic device includes both measurement and clinical validation as it is intended to be used. In this webinar we aim to cover the following important aspects of companion diagnostic device clinical validation (1) different indications for use and study designs (2) companion diagnostic device clinical performance measures (3) companion diagnostic device bridging study (4) follow-on companion diagnostic device (5) the impact of companion diagnostic device measurement performance on clinical validation of precision medicine including samples size calculation.

 

 


  *** 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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