PPT-Propensity scores and causal inference using machine learning methods

Austin Nichols Abt amp Linden McBride Cornell July 27 2017 Stata Conference Baltimore MD Overview Machine learning methods dominant for classificationprediction problems Prediction is useful for causal inference if one is trying to predict propensity scores probability of treatment conditional on observables. Chapter 14 . The pinhole camera. Structure. Pinhole camera model. Three geometric problems. Homogeneous coordinates. Solving the problems. Exterior orientation problem. Camera calibration. 3D reconstruction. 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 . Susan Athey, Stanford GSB. Based on joint work with Guido Imbens, Stefan Wager. References outside CS literature. Imbens and Rubin Causal Inference book (2015): synthesis of literature prior to big data/ML. PcOR. : . controversies in the field. Heejung Bang, PhD. UC-Davis. 1. Why PCOR?. Me as . a . negative/null/lazy researcher-patient. . & co-I of a PCORI trial, my personal and honest feelings about . 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. Presented by: Arvind Kouta. 1. Consistency Models. Strict Consistency: operations are executed in order of wall-clock time (NTP). Sequential Consistency: operations are executed in some global ordering (Total Ordering). Chapter 19 . Temporal models. 2. Goal. To track object state from frame to frame in a video. Difficulties:. Clutter (data association). One image may not be enough to fully define state. Relationship between frames may be complicated. Sciences: QUICK EXAMPLES. #. konfoundit. Kenneth A. . Frank. Ran . Xu; Zixi . Chen. ; I-Chien Chen, Guan Saw. 2018. (. AERA on-line video – cost is . $105. ). Motivation . Statistical inferences are often challenged because of uncontrolled bias. There may be bias due to uncontrolled confounding . CIMPOD 2017. “Putting the Methods into Practice”. 2. Days. 11. Speakers. 18. Workshops. Workshop presentation and materials will be available at . cimpod2017.org. For CIMPOD 2016, go to cimpod2016.org. Studies show early diagnosis may save USD 10-12K per patient. Study 1 – University of Wisconsin. Stage. Highest benefits at early stages (MMSE* 28). Costs. Drug therapy (acetylcholinesterase inhibitor). UNC Collaborative Core Center for Clinical Research Speaker Series. August 14, 2020. Jamie E. Collins, PhD. Orthopaedic. and Arthritis Center for Outcomes Research, Brigham and Women’s Hospital. Department of . 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. Nicolas . Borisov. . 1,. *, Victor . Tkachev. . 2,3. , Maxim Sorokin . 2,3. , and Anton . Buzdin. . 2,3,4. . 1. Moscow . Institute of Physics and Technology, 141701 Moscow Oblast, Russia. 2. OmicsWayCorp.