1 WELCOME TO CIMPOD 2017!
3 CIMPOD 2017 “Putting the Methods into Practice” 2 Days 11 Speakers18 Workshops Workshop presentation and materials will be available at cimpod2017.org For CIMPOD 2016, go to cimpod2016.org
4 Our Funder Funded though a Patient-Centered Outcomes Research Institute (PCORI) Eugene Washington PCORI Engagement Award (865-MTPPI)
5 Our Sponsors
6 Acknowledgements CIMPOD 2017 would like to thank NIDDK for its support in hosting this conference Special thanks to Kenneth J. Wilkins, NIDDK It’s not happening without you
7 MTPPI CIMPOD Conference TeamWe’re here to help Onkar Yi Nick Mae
8 Speakers
9 Gregory Germino, MD Deputy Director of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) at the National Institutes of Health (NIH) Prior to joining NIDDK, Dr. Germino was a full professor at the Johns Hopkins University where he directed the Johns Hopkins Polycystic Kidney Disease (PKD) Center CIMPOD 2017: Welcoming remark
10 Jason Gerson, PhD Senior Program Officer for the Clinical Effectiveness and Decision Science program at the Patient-Centered Outcomes Research Institute (PCORI) Provides intellectual and organizational leadership in designing and implementing new CER methods initiatives Leads some of PCORI’s open science initiatives, including the development of a data sharing policy. CIMPOD 2017 Opening Presentation: PCORI Support of Causal inference Research: A Match(ing Methods) Made in Heaven
11 John Seeger, PharmD, DrPHPharmacoepidemiologist and Chief Scientific Officer at Optum Epidemiology Conducted many studies that have addressed regulatory drug safety issues Worked extensively with propensity scores Teaches several courses on propensity scores in pharmacoepidemiology CIMPOD Workshops: Propensity Score
12 Kunjal Patel, DSc, MPH Senior Research Scientist, Harvard T.H. Chan School of Public Health Research scientist for the Pediatric HIV/AIDS Cohort Study (PHACS) and the International Maternal Pediatric Adolescent AIDS Clinical Trials group (IMPAACT) Extensive methodological expertise in the design and analysis of studies conducted using large observational cohorts CIMPOD Workshops: IPW for Static Interventions
13 Michael Rosenblum, PhD Associate Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health Research focuses on causal inference and development of methods for the design and analysis of randomized trials. Collaborates with clinical investigators in stroke, HIV prevention, cardiac resynchronization devices, and Alzheimer's disease prevention CIMPOD 2017 Workshops: Doubly Robust Estimators focusing on TMLE
14 Sonja Swanson, PhD Assistant Professor in the Department of Epidemiology at Erasmus MC; adjunct affiliation with the Department of Epidemiology at the Harvard T. H. Chan School of Public Health Methodological research focuses on improving the use and transparency of methods for estimating causal effects in epidemiology. CIMPOD 2017 Workshops: IV Methods
15 Lauren Cain, PhD Principal Statistician at Takeda Pharmaceuticals and a Visiting Scientist at Harvard T.H. Chan School of Public Health Research interests include both the development and application of methods for causal inference from complex longitudinal data Most recent work focuses on the optimal use of treatments through the comparison of dynamic treatment strategies. CIMPOD 2017 Workshops: IPW for Dynamic Interventions
16 Rhian Daniel, MA MSc PhD Assistant Professor in Biostatistics, London School of Hygiene and Tropical Medicine, Sir Henry Dale Fellow Interested in statistical methods for mediation analysis, time-dependent confounding and other aspects of causal inference Passionate about teaching and disseminating these topics to a wider audience CIMPOD 2017 workshops: Counterfactual-based Mediation Analysis
17 Jessica Young, PhD Assistant Professor and Biostatistician in the Department of Population Medicine, Harvard Medical School and the Harvard Pilgrim Health Care Institute Research focuses on the theoretical development and application of causal inference methods Also focuses on increasing applied researchers' access to these methods and ideas through education and software CIMPOD 2017 Workshops: Use of Parametric G-formula
18 Sherri Rose, PhD Associate Professor in the Department of Health Care Policy at Harvard Medical School Research centered around developing and integrating innovative statistical approaches to advance public health and health care research Methodological research focuses on nonparametric machine learning for causal inference and prediction Coauthored the book "Targeted Learning: Causal Inference for Observational and Experimental Data” by Springer Series in Statistics. CIMPOD 2017 Workshops: Machine Learning
19 David Drukker, PhD Executive Director of Econometrics at StataDeveloped many Stata commands for estimating treatment effects Played a key role in the initial development of Stata MP Helped integrate Mata into Stata and develop some of Stata & numerical techniques Published on econometric methods and been principal investigator on two large research grants Current research interests are causal inference and spatial econometrics CIMPOD 2017 Workshop: Estimating Treatment Effects in Stata
20 Michal Rosen-Zvi, PhD Director for Health Informatics at IBM Research. She is also heading the Health Informatics Department at IBM Research, Haifa Contributed to and led a number of multidisciplinary projects where physicians, data scientists and experts from Pharmaceutical companies joined forces to analyze post launch patients data. Published close to forty peer-reviewed papers and co-chaired a dozen of workshops in the area of machine learning and health informatics CIMPOD 2017 Workshop: Observational data: Shifting the paradigm from RCTs to retrospective studies Workshop: Paradigm shift
21 Miguel Hernán, MD, ScM, DrPHProfessor of Department of Epidemiology and Department of Biostatistics, Harvard T.H. Chan School of Public Health Help organized both CIMPOD 2016 and 2017 Conducts research on how to do research Develop and apply causal inference methods to guide policy and clinical interventions Investigates the optimal way to treat and prevent HIV infection, cancer, and cardiovascular disease Author of upcoming textbook "Causal Inference" (Chapman & Hall/CRC, 2013), drafts of selected chapters are available on his website CIMPOD 2017 Keynote Closing Address: Putting It All Together
22 Conference Agenda
23 Day 1 Morning 9:30am-12:30pm 1A. PS - John Seeger9:00-9:05 Conference Introduction - Yi Zhang 9:05-9:10 Welcoming Remarks - Greg Germino 9:10-9:30 PCORI Support of Causal Inference Research: A Match(ing Methods) Made in Heaven - Jason Gerson 9:30am-12:30pm 1A. PS - John Seeger A propensity score-matched cohort study of the effect of statins … 1B. IPW for Static Interventions - Kunjal Patel Long-term effectiveness of highly active antiretroviral therapy on … 1C. Doubly Robust Estimators, TMLE - Michael Rosenblum The risk of virologic failure decreases with duration of HIV … 1D. Instrumental Variable (IV) Methods - Sonja Swanson Bounding the per-protocol effect in randomized trials: an…
24 Day 1 Afternoon 1:30pm-4:30pm 1E. IPW for Dynamic Interventions - Lauren Cain When to start treatment? A systematic approach … 1F. Counterfactual-based Mediation Analysis - Rhian Daniel How much do tumor stage and treatment explain SES … 1G. Use of the Parametric G-formula to Estimate the Effects of Time-varying Treatments - Jessica Young Changes in fish consumption in midlife and the risk of… 1H. Machine Learning - Sherri Rose Mortality risk score prediction in an elderly population using .. 1I. Estimating Treatment Effects in Stata - David Drukker
25 Day 2 Morning 9:00am-12:00pm 2A. PS - John SeegerA propensity score-matched cohort study of the effect of statins… 2B. IPW for Static Interventions - Kunjal Patel Atazanavir exposure in utero and neurodevelopment in infants 2C. Doubly Robust Estimators with Focus on TMLE - Michael Rosenblum Safety and efficacy of minimally invasive surgery … 2D. Instrumental Variable (IV) Methods - Sonja Swanson Methodological considerations in assessing the effectiveness of … 2I. Observational Data: Shifting the Paradigm from RCTs to Retrospective Studies - Michal Rosen-Zvi
26 Day 2 Afternoon 1:00pm-4:00pm 4:00pm-4:30pm2E. IPW for Dynamic Interventions - Lauren Cain When to monitor CD4 cell count and HIV RNA to reduce … 2F. Counterfactual-based Mediation Analysis - Rhian Daniel How much do tumor stage and treatment explain SES … 2G. Use of the Parametric G-formula - Jessica Young Comparative effectiveness of dynamic treatment regimes: an … 2H. Machine Learning - Sherri Rose A Machine Learning Framework for Plan Payment Risk Adjustment 4:00pm-4:30pm Closing Keynote Address: Putting It All Together - Miguel Hernán
27 Breakfast, coffee, and lunch breaksBreakfast: 8-9am both days Coffee/cookie break: 15 min for all workshops Day 1 Lunch: 12:30-1:30pm Grab your lunch box if you pre-ordered from Fresh Fork Or go to cafeteria to buy lunch Use the round tables for lunch Day 2 lunch: 1-2pm Day 1 Wine & Cheese Reception: 4:30-7:00pm
28 Room Assignment (Signs posted in hallways)Room A: Workshops1A, 2A, 1F, 2F Room C: Workshops 1B, 2B, 1E, 2E Room D: Workshops 1C, 2C, 1H, 2H Room E1/E2: Workshops 1D, 2D, 1G, 2G, 1I, 2I Room G: Speakers’ room
29 Two New CER Tools funded by PCORI
30 Please contact Douglas Landsittel, PhD, at douglandsittel@pittPlease contact Douglas Landsittel, PhD, at for more information.
31 CERBOT.ORG Announcing the Feb. 2017 Release of CERBOT.ORGA New Web-based Tool for CER This tool will help you design your CER study using causal inference statistical methods. By navigating the five modules found in CERBOT, you will 'emulate' a randomized clinical trial using your observational data source. Sign up to be a beta-tester of the tool
32 Conference EvaluationBefore leaving the conference, please take a couple minutes to provide us feedback Let us know your ideas on advancing causal inference
33 That’s it for now! Hope to see you at the Wine & Cheese Reception!