Section C: Marginal Structural Models
This methods workshop is part of a series put on by the NIMH-funded Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness. The focus of the Johns Hopkins ALACRITY Center is to translate evidence-based interventions to reduce premature mortality among consumers with serious mental illness (SMI) into community mental health settings in Maryland and Nationwide. This workshop series aims to highlight advanced quantitative methods and mixed methods to help answer important questions in mental health services research. Lecture 1: Using Marginal Structural Models in Mental Health Services Research, is presented by Dr. Sachini Bandara, Assistant Scientist in the Department of Mental Health at The Johns Hopkins Bloomberg School of Public Health. Lecture 1 includes Section A: Introduction; Section B: Motivating Example: Maryland Medicaid Health Homes; Section C: Marginal Structural Models.
2021 04 21 Marginal Structural Models
Propensity Score Matching: A Practical Tutorial
Section A: Introduction
Introduction To Causal Inference And Directed Acyclic Graphs
Target Trial Emulation for Evaluating Mental Health Policy
Section A: Adaptive Interventions
Inverse probability of exposure & censoring weights | Xiaojuan Li, PhD | Sep 30, 2021
Multi-state models in medical research | Webinar
View Webinar: Causal Inference Methods for Real-World Evidence
Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6)
Gary King, "Why Propensity Scores Should Not Be Used for Matching"
Competing risks in survival analysis
Marginal Structural Models MSMs to adjust for confounding Miguel Hernan, MD, DrPH
14. Causal Inference, Part 1
Webinar: Enhancing proposals for ClimateXChange research projects
Section B: Illustrative Examples
15. Model Dependence
Statistical Learning: 11.1 Introduction to Survival Data and Censoring
Section B: Difference-in-Differences
