STATinMED Research’s Educational Seminar Information
To improve analytical and quantitative skills and enhance health outcomes research, we offer the following educational seminars:
- Propensity Score Matching (full day)
- Review of Statistics for Outcomes Research (full day)
- Estimating Health Care Costs (half day)
- Estimating Survival Models (half day)
- Instrumental Variable Methods (half day)
- Estimation of Count Models (half day)
- Budget Impact Analysis (half day)
- Latent Class Analysis (half day)
- Hierarchical Models (half day)
- Estimation from Censored Data (half day)
Who Should Attend?
- Health care providers, administrators, and researchers who must critically review and utilize outcomes data for clinical decision-making.
- Professionals involved in health care planning, disease management programs, drug or device development and approval.
- Clinicians, registered nurses, and allied health professionals involved in outcomes research.
- Administrators from third party payers, benefit plan sponsors, managed care and insurance companies.
- Pharmaceutical, health care technology and biotechnology scientists, managers and executives.
Participants must have an advanced degree (e.g., MD, PhD, MS, MPH, DPharm) in a relevant discipline.
Instructors for online courses:
Onur Baser, MS, PhD
Chief Scientifc Officer, STATinMED Research
Associate Professor of Surgery, Columbia University
Adjunct Professor of Internal Medicine, The University of Michigan
Dr. Baser's work in the field of propensity score matching was one of the first applications of econometric techniques in outcomes research to provide guidelines for choosing among different types of matching techniques. He created ProbChoice™, NatWeight™, SIFRA® and SampSize™ algorithms. He is a frequent speaker at international conferences and serves as a litigation expert on statistical issues. Dr. Baser holds a PhD and MA in Economics, an MS in Applied Econometrics, and an MS in Statistics. In the outcomes research field, he has over 400 worldwide presentations and publications, and contributed on several book chapters. His publication on propensity score matching was selected as one of the Top 10 most read Value in Health articles. Furthermore, his co-authored work on quality measurement appeared in JAMA in 2009 and was cited in several radio shows and newspapers.