Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Brent Andrew Coull, Ph.D.

Co-Author

This page shows the publications co-authored by Brent Coull and Linda Valeri.
Connection Strength

2.815
  1. Estimating causal contrasts involving intermediate variables in the presence of selection bias. Stat Med. 2016 11 20; 35(26):4779-4793.
    View in: PubMed
    Score: 0.699
  2. 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.
    View in: PubMed
    Score: 0.665
  3. CMAverse: A Suite of Functions for Reproducible Causal Mediation Analyses. Epidemiology. 2021 Sep 01; 32(5):e20-e22.
    View in: PubMed
    Score: 0.249
  4. Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data. Biometrics. 2021 Feb 02.
    View in: PubMed
    Score: 0.240
  5. The role of body mass index at diagnosis of colorectal cancer on Black-White disparities in survival: a density regression mediation approach. Biostatistics. 2020 Sep 24.
    View in: PubMed
    Score: 0.234
  6. Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression. Environ Health. 2018 08 20; 17(1):67.
    View in: PubMed
    Score: 0.202
  7. The Joint Effect of Prenatal Exposure to Metal Mixtures on Neurodevelopmental Outcomes at 20-40 Months of Age: Evidence from Rural Bangladesh. Environ Health Perspect. 2017 06 26; 125(6):067015.
    View in: PubMed
    Score: 0.187
  8. Misclassified exposure in epigenetic mediation analyses. Does DNA methylation mediate effects of smoking on birthweight? Epigenomics. 2017 03; 9(3):253-265.
    View in: PubMed
    Score: 0.182
  9. Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures. Biostatistics. 2015 Jul; 16(3):493-508.
    View in: PubMed
    Score: 0.157
Connection Strength
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.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.