PPT-Target trial emulation Causal inference from observational data

Joy Shi PhD Instructor of Epidemiology CAUSAL and Department of Epidemiology Harvard TH Chan School of Public Health ISPOR May 9 2023 Disclosures 2 This research was supported by the US Department of Veterans Affairs VA Office of Research and Development ORD Cooperative Studies Program CSP Epidemiology Center at the VA Boston Healthcare System through CSP 2032 by resources and the use of facilities at the VA Boston Healthcare System and VA Informatics and Computing Infrastructure VINCI VA HSR RES 13457. 1093panmpr013 Causal Inference without Balance Checking Coarsened Exact Matching Stefano M Iacus Department of Economics Business and Statistics University of Milan Via Conservatorio 7 I20124 Mila : A Ground-Breaking use of Directed Acyclic Graphs. Bob Stoddard SEMA. Mike Konrad. SEMA. Copyright 2015 Carnegie Mellon University. This . material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center.. 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. Miguel Hernán. departments of epidemiology and biostatistics. The situation:. We need to make decisions NOW. Treat with A or with B? . Treat now or later? . When to switch to C?. A relevant randomized trial would, in principle, answer each comparative effectiveness and safety question. (or at least more open-minded) scientists . than adults are: Search, temperature and the origins of human cognition.. Alison Gopnik. Dept. of Psychology . UC Berkeley. The Probabilistic Models . Approach to Causal Learning. Peter Spirtes. Carnegie Mellon University. With slides from Lizzie Silver. Outline. Biology. Data and Background Knowledge. Problems. Algorithms. Causal Graph. gene protein. mRNA mRNA . protein gene. David Madigan. Columbia . University. Patrick Ryan. Janssen. “The sole cause and root of almost every defect in the sciences is this: that whilst we falsely admire and extol the powers of the human mind, we do not search for its real helps.”. Kenneth A. Frank . Guan Saw, UT San Antonio. AERA workshop April 4, 2014 (. AERA on-line video – cost is $95. ). Motivation . Statistical inferences are often challenged because of uncontrolled bias. There may be bias due to uncontrolled confounding . 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);. Alex . Dimakis. UT Austin. j. oint work with . Murat . Kocaoglu. , . Karthik. . Shanmugam. Sriram. . Vishwanath. , . Babak. . Hassibi. Overview. Discovering causal directions . Part 1: . Interventions. 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 . 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 . Alex . Dimakis. UT Austin. j. oint work with . Murat . Kocaoglu. , . Karthik. . Shanmugam. Sriram. . Vishwanath. , . Babak. . Hassibi. Overview. Discovering causal directions . Part 1: . Interventions. Yonghan Jung. 1,3. Mohammad Adibuzzaman. 3. Yuehwern Yih. 1,3. Elias Bareinboim. 4. Marvi Bikak. 2. 1. School of Industrial Engineering, Purdue University, West Lafayette, USA. 2. Indiana University School of Medicine, Indianapolis, USA.