Name: Eleanor (Ellie) Murray
Type: User
Company: Boston University School of Public Health
Bio: Epidemiologist & causal inference methodologist. Topics: design and analysis of randomized trials; causal simulation models. Diseases: HIV, CVD, mental health
Twitter: EpiEllie
Blog: http://scholar.harvard.edu/eleanormurray
Eleanor (Ellie) Murray's Projects
Code for: Murray EJ, Robins JM, George R. Seage III, Freedberg KA, Hernan MA. A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference. American Journal of Epidemiology. 2017;186(2):131-42.
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
Causal Inference Rosetta Stone: Dictionary and thesaurus of causal inference terms across disciplines
Implementation of causal discovery algorithms on the Coronary Drug Project placebo arm
Drawing graphical models for causal inference using LaTeX
Stata code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
Code for: Murray EJ, Hernán MA. Adherence adjustment in the Coronary Drug Project: A call for better per-protocol effect estimates in randomized trials. Clinical Trials. 2016; 13(4): 372 – 378.
Murray EJ, Hernan MA. Improved adherence adjustment in the Coronary Drug Project. Trials, 2018; 19:158.
Re-analyses of the Coronary Drug Project (CDP) placebo arm data using various confounder sets
SAS code for estimating the per-protocol effect in the Candesartan in Heart Failure Morbidity and Mortality Trial
A worked example of collider bias inspired by The Book of Why, Pearl & Mackenzie
Cartoon infographics to help people understand what they can do to stay safe & healthy during the COVID19 pandemic
Data visualization challenges
Tutorial on the implementation of difference-in-difference analyses for estimating the effect of a group-level treatment among the treated.
a prototype shiny app for teaching collider bias
A slide presentation framework in HTML, JS, and OOCSS