Conventional statistical methods are not well equipped to appropriately handle confounding results, and they also tend to produce biased or false results. Other statistical methods, called causal inference (CI) are better suited to give patients and doctors accurate and valid study results they can trust and use to make treatment decisions. However, controversies and confusion in the field of CI impede progress. Many researchers are confused as to which of the many CI methods are most appropriate for their specific research question. Others are daunted by the perceived complexity of using these new statistical methods that require unfamiliar software. To address these issues, we propose to conduct a pair of two-day conference and workshops in the Washington, DC, area in February 2016 and 2017 focusing on the selection of appropriate CI methods based on PCOR question, research design, and type of confounding. Our overall goal is to enhance use of CI and increase the value of observational studies.
The projected outputs from this project are a conference series to address conceptual issues related to choosing appropriate CI methods for addressing specific PCOR questions and case studies; and the application of CI in different clinical areas to obtain hands-on experience and practical skills and lessons through plenary, panel presentations, breakout sessions, training, and technical assistance.
Project collaborators include a multi-stakeholder expert advisory committee.
Project Resource: MTPPI CIMPOD Conference Brochure
Project Resource: Conference Session Slides
Project Resource: CIMPOD 2016 Summary
Project Resource: Summaries of Proceedings
More information about MTPPI's CIMPOD Conference can be found here.
Causal Inference Methods for PCOR Using Observational Data (CIMPOD) Conference 2017
February 27 - 28, 2017
Natcher Conference Center in National Institute of Health
45 Center Drive
Bethesda, Maryland 20894
This is an in-person meeting and it is open to the public for a fee. See the conference website for details or email email@example.com.
Causal Inference Methods for PCOR Using Observational Data Conference
February 24-25, 2016
National Academy of Sciences
2101 Constitution Ave. NW
Washington, D.C. 20418
This is an in-person meeting and it is open to the public for a fee. See the conference website for details.