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20162022
most citedOn the collapsibility of measures of effect in the counterfactual causal framework

48 citations · 106 across the 6 of their papers we have counts for

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5 papers · 1 filter

stat.ME2022★ 4 cited

Mindel C. Sheps: Counted, dead or alive

Anders Huitfeldt

In the 1958 paper "Shall we count the living or the dead", Canadian physician and biostatistician Mindel C. Sheps proposed a novel approach to choice of effect measure, which resol…

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.ME2016★ 17 cited

The choice of effect measure for binary outcomes: Introducing counterfactual outcome state transition parameters

Anders Huitfeldt, Andrew Goldstein, Sonja A. Swanson

Standard measures of effect, including the risk ratio, the odds ratio, and the risk difference, are associated with a number of well-described shortcomings, and no consensus exists…

stat.ME2016★ 21 cited

Effect heterogeneity and variable selection for standardizing causal effects to a target population

Anders Huitfeldt, Sonja A. Swanson, Mats Julius Stensrud +1

The participants in randomized trials and other studies used for causal inference are often not representative of the populations seen by clinical decision-makers. To account for d…

stat.ME2016★ 48 cited

On the collapsibility of measures of effect in the counterfactual causal framework

Anders Huitfeldt, Mats Julius Stensrud, Etsuji Suzuki

A measure of association is said to be collapsible over a set of baseline covariates if the marginal value of the measure of association is equal to a weighted average of the strat…