One moment, processing...

Message Image  


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: Statistical Methods Used in Pre-Clinical Drug Combination Studies
Presenter: Wei Zhao, Medimmune
Date and Time: Thursday, April 16, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Tuesday, April 14, at 12:00 p.m. Eastern time

Description:
Various oncogenic cell signaling pathways are known to provide cross-talk and redundancy within tumors. Thus inhibition of such pathways individually by a single targeted therapy has been shown to lead to compensation by other pathways. This, in turn, results in a loss of sensitivity to the original targeted therapeutic agent at the cellular level. In the clinic, this type of compensation leads to tumor resistance and relapse. Because advanced tumors are often resistant to single agents, there is an increasing trend to combine drugs to achieve better treatment effect and reduce safety issues. The growing interest in using combination drugs has spawned the development of many novel statistical methodologies. In this webinar presentation, I will demonstrate the various statistical methods used in designing and analyzing pre-clinical drug combination studies.


Title: Statistical Methods Used in Pre-Clinical Drug Combination Studies

Presenter: Wei Zhao, Medimmune
Date and Time: Thursday, April 16, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Tuesday, April 14, at 12:00 p.m. Eastern time

Description:
Various oncogenic cell signaling pathways are known to provide cross-talk and redundancy within tumors. Thus inhibition of such pathways individually by a single targeted therapy has been shown to lead to compensation by other pathways. This, in turn, results in a loss of sensitivity to the original targeted therapeutic agent at the cellular level. In the clinic, this type of compensation leads to tumor resistance and relapse. Because advanced tumors are often resistant to single agents, there is an increasing trend to combine drugs to achieve better treatment effect and reduce safety issues. The growing interest in using combination drugs has spawned the development of many novel statistical methodologies. In this webinar presentation, I will demonstrate the various statistical methods used in designing and analyzing pre-clinical drug combination studies.

 

Title: Interpretation of Patient-Reported Outcomes

Presenter: Joseph Cappelleri, Pfizer, Inc.
Date and Time: Thursday, May 14, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section and Health Policy Statistics Section

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

Description:
A patient-reported outcome is any report on the status of a patient's health condition that comes directly from the patient. Clear and meaningful interpretation of patient-reported outcome scores are fundamental to their use as they can be valuable in designing studies, evaluating interventions, educating consumers, and informing health policy makers involved with regulatory, reimbursement, and advisory agencies. Interpretation of patient-reported outcome scores, however, is often not well understood because of insufficient data or lack of experience or clinical understanding to draw from.  This presentation provides an update review on two broad approaches - anchor-based and distributed-based - aimed at enhancing the understanding and meaning of patient-reported outcome scores. Anchor-based approaches include percentages based on thresholds, criterion-group interpretation, content-based interpretation, and clinical important difference. Distributed-based approaches include effect size, probability of relative benefit, and responder analysis and cumulative proportions. A third strategy called mediation analysis, which can elucidate a health condition measured by a patient-reported outcome in the context of an intervention's mechanism of action, is also highlighted and illustrated. Mediation analysis in the context of interpretation of patient-reported outcome scores is a relatively new development.  The logic and rationale of the three methods are expressed generally. While the three approaches themselves are not new, some applications of them taken from their examples published in the past several years are original and coalesced in this presentation.

 

Title: Using SAS and LaTeX to Create Documents with Reproducible Results
Presenter: Tim Arnold, SAS Institute, Inc.
Date and Time: Thursday, June 4, 2015, 11:00 a.m. - 12:30 p.m. Eastern time
Sponsor: Section for Statistical Programmers and Analysts

Registration Deadline: Tuesday, June 2, at 12:00 p.m. Eastern time

Description:
This webinar will describe the StatRep system for reproducible research. The StatRep system uses SAS and the LaTeX typesetting system to create documents with reproducible results. It consists of a LaTeX package, a suite of SAS macros and a user guide. The LaTeX package provides two environments and two tags that work together to display your SAS code and results and to generate the SAS program that produces those results. The generated SAS program includes calls to the StatRep SAS macros that use the SAS Output Delivery System (ODS) document to capture the output as external files. With the StatRep system, you can share your LaTeX document with colleagues and be sure that your results are reproducible. 

 

Title: Propensity Score Methods for Estimating Causal Effects in Pharmaceutical Research
Presenter: Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
Date and Time: Wednesday, June 24, 2015, 12:00 p.m. - 2:00 p.m. Eastern time
Sponsor: Biopharmaceutical Section

Registration Deadline: Monday, June 22, at 12:00 p.m. Eastern time

Description:
Propensity scores are an increasingly common tool for estimating the effects of interventions in observational ("non-experimental") settings and for answering complex questions in randomized controlled trials. They can be of great use in pharmaceutical and health services research, for example helping assess broad population effects of drugs, devices, or biologics already on the market, especially investigating post-marketing safety outcomes, or for answering questions regarding the outcomes of long-term use using claims data. This webinar will discuss the importance of the careful design of observational studies, and the role of propensity scores in that design, with the main goal of providing practical guidance on the use of propensity scores to estimate causal effects. The webinar will briefly cover the primary ways of using propensity scores to adjust for confounders when estimating the effect of a particular "cause" or "intervention," including weighting, subclassification, and matching. Topics covered will include how to specify and estimate the propensity score model, selecting covariates to include in the model, diagnostics, and common challenges and solutions. Software for implementing analyses using propensity scores will also be briefly discussed. The webinar will also highlight recent advances in the propensity score literature, with a focus on topics particularly relevant for pharmaceutical contexts, including prognostic scores, covariate balancing propensity scores, methods for non-binary treatments (such as dosage levels of a drug or when comparing multiple drugs, devices, or biologics simultaneously), and approaches to be used when there are large numbers of covariates available (as in claims data).




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

From the SBSS Mixer at JSM 2013 






















 

Announcements

  • This is a test announcement to serve as a placeholder for you website. Use this space to enter pertinent information for your members and also for the public. These announcements are automatically archived to your news tab above and also placed on your community homepage.

Latest Discussions

There are no discussions to which you have access

Either the content you're seeking doesn't exist or it requires proper authentication before viewing.

Recent Shared Files

No data found

Either the content you're seeking doesn't exist or it requires proper authentication before viewing.

Recent Blogs

Log in to see this information

Either the content you're seeking doesn't exist or it requires proper authentication before viewing.