PhilSci Archive

How to measure effect sizes for rational decision-making

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

[img]
Preview
Text
draft_measuring effect sizes for rational decision-making_Jantgen.pdf

Download (209kB) | Preview

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.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Jäntgen, Inaij271@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: 15 Sep 2022 23:06
Last Modified: 15 Sep 2022 23:06
Item ID: 21162
Subjects: Specific Sciences > Medicine > Clinical Trials
Specific Sciences > Medicine > Epidemiology
General Issues > Evidence
Specific Sciences > Probability/Statistics
Date: September 2022
URI: http://philsci-archive.pitt.edu/id/eprint/21162

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item