scispace - formally typeset
M

M. Elizabeth Halloran

Researcher at Fred Hutchinson Cancer Research Center

Publications -  270
Citations -  19557

M. Elizabeth Halloran is an academic researcher from Fred Hutchinson Cancer Research Center. The author has contributed to research in topics: Vaccination & Population. The author has an hindex of 56, co-authored 248 publications receiving 15685 citations. Previous affiliations of M. Elizabeth Halloran include University of Washington & Washington University in St. Louis.

Papers
More filters
Journal ArticleDOI

Challenges of evaluating and modelling vaccination in emerging infectious diseases

TL;DR: In this article, the authors introduce key challenges for planning, evaluating, and modelling vaccine efficacy trials for emerging pathogens, and introduce mathematical and statistical models to assist investigators in designing infectious disease clinical trials.
Journal ArticleDOI

Evaluating the Effectiveness of Vaccines Using a Regression Discontinuity Design.

TL;DR: It is argued that epidemiologic researchers should consider RDDs when evaluating interventions designed to prevent and control diseases, especially those for which randomized clinical trials would present major challenges or be infeasible.
Journal ArticleDOI

On the use of state-space models for the evaluation of health interventions

TL;DR: A simple transmission model appropriate to evaluate health interventions that confer long term protection and expand on previous statistical procedures to estimate the relevant parameters is discussed.
Journal ArticleDOI

Semi-parametric models for mismeasured exposure information in vaccine trials.

TL;DR: Improvements in bias and efficiency are demonstrated when the different levels of exposure information are combined to estimate vaccine efficacy for reducing both susceptibility and infectiousness in an HIV vaccine trial.
Journal ArticleDOI

Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015–2016 ZIKV epidemic

TL;DR: A framework for the projection of ZIKV autochthonous transmission in the contiguous US during the 2015–2016 epidemic using a data-driven stochastic and spatial epidemic model accounting for seasonal, environmental, and detailed population data is presented.