PPT-Propensity Score Analysis with SEM

A tutorial with MPLUS Walter L Leite University of Florida Laura M Stapleton University of Maryland Learning Objectives Describe quasiexperimental research designs Identify propensity score analysis methods. ef to in the institute College University has ramined satisfactory Any other information please record Seal and Signature of the Competent Authority h Status of the Institute College University Deemed Affiliated i Whether the candidate has com Raw Scale Raw Scale Raw Scale Raw Scale Score Score Score Score Score Score Score Score 86 100 64 80 42 66 20 42 85 98 63 79 41 66 19 41 84 97 62 79 40 65 18 39 83 95 61 78 39 64 17 38 82 94 60 77 38 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 . Gerhardt Pohl. Eli Lilly and Company. Objective. We view a “complete” solution to the problem of calculating the Incremental Cost Effectiveness Ratio (ICER) in oncology as one simultaneously addressing . T. he . number of times a rise in GDP exceeds the rise in injections that caused it. .. Eg. . if £10M increase in net injections results in £10.4 increase in GDP then the multiplier is 1.4 . The Multiplier. Ling . Ning. &. . Mayte. . Frias. . Senior Research Associates. Neil . Huefner. . Associate Director. Timo. Rico. Executive Director. Outline. Understanding causal effects. Methods for estimating causal effects. 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. Wichita State University . The Campus Community. April 20, 2017. Agenda for Today. Looking back at SEM Year 1 Achievements. Looking forward at what still needs to be done. YOU are the presenters!. The SEM Workshops: Covering the SEM Pillars. Austin Nichols (Abt) & Linden McBride (Cornell). July 27, 2017. Stata Conference. Baltimore, MD. Overview. Machine learning methods dominant for classification/prediction problems.. Prediction is useful for causal inference if one is trying to predict propensity scores (probability of treatment conditional on observables);. C= f(Y). Keynes uses the term propensity to consume for consumption function.. Kurihara. . says, “ . Consumption represents the amount of consumption expenditure at a given level of income whereas the propensity to consume C/Y is a schedule of consumption expenditure at various levels of income.”. 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. 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 .