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This sheet is for anyone registered for 2016 ACIC
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Description: Let the world (or at least the other conference participants) know what research you are most excited about! Find collaborators who are interested in similar topics. Format is up to the participant (software demonstration, powerpoint/beamer slides, interpretative dance). Each participant gets to talk for 3 minutes. All conference registrants are eligible.
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Instructions: Fill in your name, email address, institution, and a (provisional) title. The session is first-come first-serve, so the first 15 who sign up get a spot. If there is more interest, there will be a "wait list" either to fill a spot if someone above changes their mind, or to open up another section.
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NameemailInstitutionTitle
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1Nicole Carnegiecarnegin@uwm.eduUniversity of Wisconsin-Milwaukee
Sensitivity Analysis for Multilevel Models
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2Janet Rosenbaum
janet.rosenbaum@downstate.edu
SUNY Downstate (Brooklyn)
Ethical issues in variable choice for matched sampling: An application to school suspension
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5Amit Sharmaamshar@microsoft.comMicrosoft Research
Necessary and probably sufficient test for discrete instrumental variables
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6Jared Murrayjsmurray@stat.cmu.eduCarnegie Mellon University
Semiparametric Bayesian Inference for Partially Identified Treatment Effects
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7Daniel Westreichdjw@unc.eduUNC-Chapel Hill
The causal impact framework: thinking beyond internal validity
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8Hwanhee Honghhong@jhu.edu
Johns Hopkins Bloomberg School of Public Health
Propensity score-based estimators with multiple error-prone covariates
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9Trang Quynh Nguyentnguye28@jhu.edu
Johns Hopkins Bloomberg School of Public Health
Bias due to a mismeasured/latent covariate in propensity score analysis: A simple fix using "inclusive" factor scores
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10Douglas Galagatedouglas.galagate@census.govU.S. Census Bureau
Alternative Estimators for Parametric Dose-Response Functions
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11Ken Wilkinskenneth.wilkins@nih.gov
National Institute of Diabetes & Digestive & Kidney Diseases
Assessing potential uses for NIH data repositories within the causal inference community
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12S. Reza Jafarzadehs.reza.jafarzadeh@wustl.edu
Washington University School of Medicine
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13Marc Scottmarc.scott@nyu.eduNew York University
Bias amplifying covariates in group-structured data
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14Qingyuan Zhaoqyzhao@stanford.eduStanford University
Covariate Balancing Propensity Score by Tailored Loss Functions
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15Ashley I Naimiashley.naimi@pitt.eduUniversity of Pittsburgh
Effect Decomposition with Structural Nested Mean Models: A Practical Multiply Robust Approach
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Wait list
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1Neil Heffernannth@wpi.edWorcester Polytechnic Institute
Using my Homework System with 50,000 users to run over 100 RCT on them. All sorts of methodiolgies welcome
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