activity
20192023
most citedGuidelines for estimating causal effects in pragmatic randomized trials

21 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023★ 3 cited

Lord's 'paradox' explained: the 50-year warning on the use of 'change scores' in observational data

Peter W. G. Tennant, Georgia D. Tomova, Eleanor J. Murray +3

In 1967, Frederick Lord posed a conundrum that has confused scientists for over half a century. Subsequently named Lord's 'paradox', the puzzle centres on the observation that two…

stat.ME2021

Shall we count the living or the dead?

Anders Huitfeldt, Matthew P. Fox, Eleanor J. Murray +2

In the 1958 paper "Shall we count the living or the dead?", Mindel C. Sheps proposed a principled solution to the familiar problem of asymmetry of the relative risk. We provide cau…

stat.ME2021★ 16 cited

Quantifying Uncertainty in Infectious Disease Mechanistic Models

Lucy D'Agostino McGowan, Kyra H. Grantz, Eleanor Murray

This primer describes the statistical uncertainty in mechanistic models and provides R code to quantify it. We begin with an overview of mechanistic models for infectious disease,…

q-bio.QM2020★ 1 cited

EIC (Expert Information Criterion) not AIC: the cautious biologist's guide to model selection

Zachary M. Laubach, Eleanor J. Murray, Kim L. Hoke +2

1.A goal of many research programs in biology is to extract meaningful insights from large, complex data sets. Researchers in Ecology, Evolution and Behavior (EEB) often grapple wi…

stat.ME2019★ 21 cited

Guidelines for estimating causal effects in pragmatic randomized trials

Eleanor J. Murray, Sonja A. Swanson, Miguel A. Hernán

Pragmatic randomized trials are designed to provide evidence for clinical decision-making rather than regulatory approval. Common features of these trials include the inclusion of…