# Talks

#### 2023

- Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects (CMStatistics, 2023-12-17) [slides] [slides¬es]
- 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

#### 2021

#### 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]