This page shows the publications co-authored by Linda Valeri and Tyler VanderWeele.
SAS macro for causal mediation analysis with survival data. Epidemiology. 2015 Mar; 26(2):e23-4.
Mediation analysis when a continuous mediator is measured with error and the outcome follows a generalized linear model. Stat Med. 2014 Dec 10; 33(28):4875-90.
The estimation of direct and indirect causal effects in the presence of misclassified binary mediator. Biostatistics. 2014 Jul; 15(3):498-512.
Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychol Methods. 2013 Jun; 18(2):137-50.
CMAverse: A Suite of Functions for Reproducible Causal Mediation Analyses. Epidemiology. 2021 09 01; 32(5):e20-e22.
Counterpoint: Mediation Formulas With Binary Mediators and Outcomes and the "Rare Outcome Assumption". Am J Epidemiol. 2019 07 01; 188(7):1204-1205.
The Role of Stage at Diagnosis in Colorectal Cancer Black-White Survival Disparities: A Counterfactual Causal Inference Approach. Cancer Epidemiol Biomarkers Prev. 2016 Jan; 25(1):83-9.
The role of measurement error and misclassification in mediation analysis: mediation and measurement error. Epidemiology. 2012 Jul; 23(4):561-4.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.