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. Collective Entity Matching. Vibhor Rastogi (Yahoo! Research) . Nilesh Dalvi (Yahoo! Research) . Minos Garofalakis (Univ. of Crete ). Problem Description. Input: . Database containing . references. to . 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: . Technical Track Session VI. This material constitutes supporting material for the "Impact Evaluation in Practice" book. This additional material is made freely but please acknowledge its use as follows: . Michael . Massoglia. Department of Sociology. University of Wisconsin Madison . General Overview. The logic of propensity models. Application based discussion of some of the key features . Emphasis on working understanding use of models . A Practical Demonstration Looking at Results from the Promise Pathways Initiative at Long Beach City College. Andrew Fuenmayor, Research Analyst. John Hetts, . Director of Institutional Research. Long Beach City College . 1 with STATA Barbara SianesiUniversity College LondonInstitute for Fiscal StudiesE-mail: barbara_s@ifs.org.ukPrepared forUK Stata Users Group, VII MeetingLondon, May 2001 ACKGROUNDVALUATION ROBLEM 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. Ling . Ning. &. . Mayte. . Frias. . Senior Research Associates. Neil . Huefner. . Associate Director. Timo. Rico. Executive Director. Outline. Understanding causal effects. Methods for estimating causal effects. . Propensity Score Matching as a tool for measuring the effectiveness of Active Labour Market Policies implemented by Croatian Employment Service. Micha. l. Kotnarowski. , . Ph.D. .. . . Institute of Political Studies, Polish Academy of Sciences. Storing strings. Reading text input by line. Concatenating strings. Checking for matching string at beginning. Finding a substring within a larger string. Counting . occurances. in a string (e.g. how many vowels). Matthew Spotnitz, M.D., M.P.H.. 1. , Karthik Natarajan, Ph.D.. 1. , Patrick B. Ryan, Ph.D.. 2. , Carolyn L. . Westhoff. , M.D., M.Sc.. 1. 1. Columbia University Irving Medical Center, . 2. Janssen Pharmaceuticals. 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.