PPT-Does large-scale propensity score matching really match the hidden baseline characteristics?

Seng Chan You What should OHDSI studies look like 2 A study should be like a pipeline A fully automated process from database to paper Performing a study building the pipeline Database. HEP Development. HEP Development. Who is HEP?. With more than 5,000 customers and 15 years experience, HEP has developed proven tools to help you identify and promote match opportunities, gain access to the highest quality prospect development information and enhance your data. . By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . frica. Debra Shepherd. Quantitative APPLICATIONS in education research . ReSEP. CONFERENCE. 19 AUGUST 2015. MOTIVATION. The question of whether one type of school produces better educational results than another type of school is central to school effectiveness . Overview:. What . do we use a propensity score for?. How do we construct the . propensity . score?. How do we implement propensity score estimation in STATA?. Joke (kind of…). Two heart surgeons (Jack and Jill) walk into a bar.. Making Sense of Non-Randomized Observational Data. Atul Sharma MD, MSc, FRCPC(ret). Biostatistical Consulting Unit. April 2014. Propensity score 1996 - 2013. RCT – the gold standard. R.A. Fisher: . A Primer in . R. 1. David Zepeda. Assistant Professor. Supply Chain & Information Management. d.zepeda@neu.edu. Center for Health Policy and Healthcare Research. Brown Bag Series. April 1, . 2015. A tutorial with MPLUS. Walter L. Leite, University of Florida. Laura M. Stapleton, University of Maryland. Learning Objectives. Describe quasi-experimental research designs. Identify propensity score analysis methods. Walter Leite. College of Education. University of Florida. Burak. Aydin. Recep. . Tayyip. . Erdo. ğ. an. University. Turkey. Sungur. . Gurel. Siirt. . University. Turkey. Duygu. Cetin-Berber. 2. Homework Review. 3. 4. Project Leadership: Chapter 3. Becoming A Mover and Shaker: . Working . With Decision Makers . for . Change. 5. Blank Slide (Hidden). Purpose. To learn about:. . Your elected officials. Thursday, September 19. th. Teresa Page, ITS. 1. Agenda. Purpose of Matching. Relationship between Purchasing and AP. Purchasing . Dept. Responsibilities. Accounts Payable . Dept. Responsibilities. Statement of the problem. Two sides of the market to be . matched.. Participants . on . both sides care about to whom they are matched.. M. oney can’t . be used to . determine . the assignment. .. Examples . Dec 1. , 2016. Learn how to efficiently identify customers most likely to respond to marketing campaigns. 1. PRESENTERS. David Royal, . Client Success Manager. Keaton . Baughan. , . Product Manager. 2. Junjing Lin. [Takeda], Margaret Gamalo [Pfizer], . Ram Tiwari. [BMS]. Expanding Real World Evidence in Pre-market Approvals. What Constitutes Externally Controlled Trials? . Potential Outcomes Framework. Department of Statistical Science. Duke University. Propensity score weighting for CER. Challenges in . o. bservational comparative effectiveness studies: . treatment . and control groups are different in baseline characteristics .