Erin Evelyn Gabriel

Erin Evelyn Gabriel

Associate Professor - Promotion Programme

My research focuses on biostatistical methods development and the proper application of methods to problems in the treatment and prevention of infectious diseases.

I am currently working on methodological research in the areas of surrogate evaluation, particularly in the presence of interference and within outcome-adaptive trials, nonparametric causal bounds, designs and estimation methods for emulated and randomized clinical trials for the evaluation of prediction-based decision rules. My general statistical areas of interest are in causal inference and randomized trials. I am primarily interested in methods that are applicable to infectious disease and vaccination, which is where much of my applied research has taken place, but I also do work in other disease areas such as cancer and aging.

Teaching

I teach Introductory Statistics and Data Analysis at the Masters and Doctoral Level

Selected publications

  1. Published

    Causal Bounds for Outcome-Dependent Sampling in Observational Studies

    Gabriel, Erin Evelyn, Sachs, M. C. & Sjolander, A., 2022, In: Journal of the American Statistical Association. 117, 538, 12 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. Published

    Sharp Nonparametric Bounds for Decomposition Effects with Two Binary Mediators

    Gabriel, Erin Evelyn, Sachs, Michael & Sjölander, A., 2023, In: Journal of the American Statistical Association. 118, 544, p. 2446-2453 8 p.

    Research output: Contribution to journalJournal articlepeer-review

  3. Published

    Cross-direct effects in settings with two mediators

    Gabriel, Erin Evelyn, Sjolander, A., Follmann, D. & Sachs, Michael, 2023, In: Biostatistics. 24, 4, p. 1017–1030 14 p.

    Research output: Contribution to journalJournal articlepeer-review

ID: 291063891