Jäntgen, Ina (2022) How to measure effect sizes for rational decision-making. In: UNSPECIFIED.

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Abstract

Absolute and relative outcome measures measure a treatment’s effect size, purporting to inform treatment choices. I argue that absolute measures are at least as good as, if not better than, relative ones for informing rational decisions across choice scenarios. Specifically, this dominance of absolute measures holds for choices between a treatment and a control group treatment from a trial and for ones between treatments tested in different trials. This distinction has hitherto been neglected, just like the role of absolute and baseline risks in decision-making that my analysis reveals. Recognizing both aspects advances the discussion on reporting outcome measures.

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Item Type:	Conference or Workshop Item (UNSPECIFIED)
Creators:	Creators Email ORCID Jäntgen, Ina ij271@cam.ac.uk
Keywords:	absolute outcome measures, relative outcome measures, effect sizes, trials, treatment choices
Subjects:	Specific Sciences > Medicine > Clinical Trials Specific Sciences > Medicine > Epidemiology General Issues > Evidence Specific Sciences > Probability/Statistics
Depositing User:	Ina Jäntgen
Date Deposited:	12 Jan 2023 17:44
Last Modified:	12 Jan 2023 17:44
Item ID:	21651
Subjects:	Specific Sciences > Medicine > Clinical Trials Specific Sciences > Medicine > Epidemiology General Issues > Evidence Specific Sciences > Probability/Statistics
Date:	September 2022
URI:	https://philsci-archive.pitt.edu/id/eprint/21651

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• How to measure effect sizes for rational decision-making. (deposited 15 Sep 2022 23:06)

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