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Talks

2024

  • Outcome missingness in principal stratification analysis: in defense of MAR over latent ignorability (latent MAR) (SER, 2024-06-19) [slides]

  • Missing data: conventions and some recent ideas (CFAR BEM Core Seminar, Johns Hopkins School of Public Health, 2024-02-15) [slides]

2023

  • Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects (CMStatistics, 2023-12-17) [slides] [slides&notes]
  • Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects (EcoSta, 2023-08-03) [slides]
  • Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects (Johns Hopkins Causal Inference Working Group, 2023-02-28) [slides]

2022

  • Flexible overlap weighting (JSM 2022) [slides]
  • Causal mediation analysis (Methods Seminar Series, Social and Behavioral Sciences Branch, NICHD, 2022-06-08) [slides]
  • Causal mediation Analysis (Epidemiology of Aging T32, University of Maryland, 2022-06-23) [slides]

2021

  • Causal mediation analysis: From simple to more robust estimation strategies (CMStatistics 2021) [slides]
  • Discussion of session From Health Disparity to Health Fairness: Stories Told, Lessons Learned, and Science Forward (JSM 2021) [slides] (to see the talks in this session, click here.)

2020

  • Causal mediation estimands from an applied perspective: What do we want to learn? (JSM 2020) [slides]
  • Mediation analysis first step: Defining effects based on what we want to learn (SREE 2020) [slides]
  • Mediation analysis first step: Defining effects based on what we want to learn (SPR 2020) [slides]
  • Sensitivity analysis for unobserved confounding (Advanced Topics in Pharmacoepidemiology course, University of Maryland, 2020-04-13) [slides]

2019

  • Covariate measurement error in propensity score analysis: Leveraging the covariate’s posterior mean (JSM 2019) [slides]
  • Discussion of session Trade-Offs and Tensions in Mediational Analyses of Experimental Data (SREE 2019) [slides] (for session info, see page 60 in this document)
  • Causal mediation analysis: Effect definitions (what is it we are trying to learn?) (Training Interdisciplinary Educational Scientists Program, Penn State University, 2019-04-17) [slides]

2018

  • Propensity score analysis with complex survey data: when treatment effects are heterogeneous across strata and clusters (SREE 2018) [slides]
  • Propensity score analysis with complex survey data: when treatment effects are heterogeneous across strata and clusters (ENAR 2018) [slides]
  • An introduction to causal mediation analysis (Department of Psychiatry, Johns Hopkins School of Medicine, 2018-04-03) [slides]

2017

  • Discussion of session Measurement Error in Causal Inference (ENAR 2017) [slides] (for session info, see page 63 in this document)
  • Sensitivity analyses for partially or fully unobserved effect modifiers when calibrating treatment effects from a randomized trial to a target population (ACIC2017) [slides]

2016

  • Sensitivity analysis for an unobserved moderator in RCT-to-target-population generalization of treatment effects (ENAR 2016) [slides]
  • Propensity score analysis with latent covariates: Correction of measurement error bias using the inclusive factor score (JSM 2016) [slides]
  • Propensity score analysis with latent covariates: Correction of measurement error bias using the inclusive factor score (SPR 2016) [slides]
  • The sign of collider bias in binary variable structures (ACIC 2016 lightning talk) [slides]
  • Causal mediation analysis with a binary outcome and multiple continuous/ordinal mediators (Pre-APPA NIDA and NIMH T32 Training Programs Meeting, Columbia University Mailman School of Public Health, 2016-03-02) [slides]

2015

  • Sensitivity analysis for an unobserved effect modifier in RCT-to-target-population generalization of treatment effect (The Schroeder Institute for Tobacco Research and Policy Studies, LEGACY, 2015-08-13) [slides]
  • Sensitivity analysis for an unobserved confounder (Advanced Topics in Pharmacoepidemiology course, University of Maryland, 2015-11-17) [slides]

Posters