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Choosing an appropriate real-life measure of effect size:the case of a continuous predictor and a binary outcome

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  • Ronan M. Conroy

    (Royal College of Surgeons in Ireland)

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. Copyright 2002 by Stata Corporation.

Suggested Citation

  • Ronan M. Conroy, 2002. "Choosing an appropriate real-life measure of effect size:the case of a continuous predictor and a binary outcome," Stata Journal, StataCorp LP, vol. 2(3), pages 290-295, August.
    • Handle: RePEc:tsj:stataj:v:2:y:2002:i:3:p:290-295
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    References listed on IDEAS

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    1. Peter Sasieni, 1998. "An adaptive variable span running line smoother," Stata Technical Bulletin, StataCorp LP, vol. 7(41).
    2. Joanne Garrett, 1996. "Graphical assessment of linear trend," Stata Technical Bulletin, StataCorp LP, vol. 5(30).
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    Cited by:

    1. Lutz Bornmann & Jürgen Enders, 2004. "Social origin and gender of doctoral degree holders," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 19-41, September.
    2. Bornmann, Lutz & Daniel, Hans-Dieter, 2007. "Convergent validation of peer review decisions using the h index," Journal of Informetrics, Elsevier, vol. 1(3), pages 204-213.

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