Choosing an appropriate real-life measure of effect size: the case of a continuous predictor and a binary outcome
Conroy, Ronan M.
2002

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Abstract

A case study of data on age and pregnancy is used to point up some morals for practicing data analysts, including the superiority of regression over t tests, exploratory scatterplot smoothing as a key method of checking form of relationship, and the value of logistic regression followed by adjust as a way of getting at the numbers of most interest.

Details

Title Choosing an appropriate real-life measure of effect size: the case of a continuous predictor and a binary outcome
Keywords
Author(s) Conroy, Ronan M.
Subject(s)
Issue Date 2002
Publication Type Journal Article
DOI and Other Identifiers 10.22004/ag.econ.116011
st0021 (Other)
Record Identifier https://ageconsearch.umn.edu/record/116011
PURL Identifier http://purl.umn.edu/116011
Published in Stata Journal
Volume 02
Issue 3
Page Range 290 - 295
Total Pages 6
Record Appears in Stata Journal

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