ISPOR Health Outcomes Metrics Special Interest GrouP
Health Econometrics Working Group

David Vanness PhD

Co-Chair:
David Vanness, PhD
Assistant Professor, Population Health Sciences, University of Wisconsin, School of Medicine and Public Health
Madison, WI, USA

Co-Chair:
Bijan J. Borah, PhD
Associate Consultant, Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN, USA

Leadership Group:
Anirban Basu, PhD
, Assistant Professor, University of Chicago, Chicago, Illinois, USA
Benjamin M. Craig, PhD, Assistant Member, Health Outcomes & Behavior Moffitt Cancer Center, Associate Professor, Dept of Economics University of South Florida, Tampa, FL, USA
Jalpa Doshi, PhD, Associate Professor of Medicine, University of Pennsylvania, Philadelphia, PA, USA

Goal:
To provide education for using appropriate and novel health econometric approaches in outcomes research; Stimulate debate and develop consensus on estimator transparency*;  Advance knowledge & understanding in health econometrics, particularly through comparative modeling**  in outcomes research; and Respond to and shape the practice of health econometrics through the promotion of exemplary approaches***  in outcomes research.

Work Products:
ISPOR Health Econometrics Educational Series
 

Objective
To better inform health economists of all levels, the ISPOR Health Econometrics Working Group is developing a two-fold health econometrics educational series that includes:

(1) A practical Distance Learning module

  • Advanced Retrospective Observational Study Propensity Scoring Methods
    Bijan J. Borah, PhD, Co-Chair, ISPOR Health Econometrics Working Group and Associate Consultant, Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN, USA
    Outline

(2) A theoretical webinar

  • Introduction to Bayesian Econometrics
    David Vanness, PhD, Co-Chair, ISPOR Health Econometrics Working Group and Assistant Professor, Population Health Sciences, University of Wisconsin, School of Medicine and Public Health, Madison, WI, USA
    Outline
Timeline

Educational Series Goals and Objectives defined

March 1, 2013

Advanced Retrospective Observational Study Propensity Scoring Methods draft module preliminary review completed

March 11, 2013

Secondary expert review of revised Advanced Retrospective Observational Study Propensity Scoring Methods module completed

April 29, 2013

Intro. to Bayesian Econometrics webinar outline completed

April 29, 2013

Advanced Retrospective Observational Study Propensity Scoring Methods module published at ISPOR website

Mid May 2013

Intro. to Bayesian Econometrics webinar content finalized

May 30, 2013

Intro. to Bayesian Econometrics webinar LIVE session

June 2013

ISPOR Health Outcomes Metrics Index of Open Source Code
For questions, or to learn how you can submit entries to the index, please e-mail hewg@ispor.org.

The ISPOR Health Outcomes Metrics Special Interest Group
Vanness DJ, Borah BJ. The ISPOR health outcomes metrics special interest group. ISPOR CONNECTIONS 2011;17:10.

Activities:
W1: ECONOMETRIC METHODS FOR ASSESSING TREATMENT-EFFECT HETEROGENEITY
May 2013 – ISPOR 18th Annual International Meeting, Workshop Presentation, New Orleans, LA, USA

 

*Estimator transparency refers to open source modeling, where the actual statistical programs are accessible, interpretable, operational, and modifiable for alternative use. Base software (e.g., STATA) may need to be purchased and some statistical knowledge may be required; however, full transparency is attainable.
**Comparative modeling refers to the differentiation of alternative programs/processes for the computation of seemingly identical outcomes. Transparency is required for comparative modeling.
***Exemplary approaches refer to a research team that has put forth a transparent and well-justified model that best achieves the intended purpose.


To join this SIG Working Group, see: Join a Special Interest Group.

Health Outcomes Metrics Special Interest Group (HOM) | Special Interest Groups Index