Multiple comparisons, interaction effects, and statistical inference: Lessons from chronic kidney disease progression among blacks

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Abstract

A post hoc analysis of a randomized trial comparing progression of chronic kidney disease among blacks and non-blacks provides an opportunity to explore statistical inference. Multiple comparisons without penalizing the P-value can lead to false positive results; this is illustrated using simulation. Tests of statistical interaction are then applied and interpreted to understand effect modification (or lack thereof) in the context of this trial.

Original languageEnglish
Pages (from-to)516-519
Number of pages4
JournalKidney International
Volume81
Issue number6
DOIs
StatePublished - Mar 2 2012

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Chronic Renal Insufficiency
Disease Progression

ASJC Scopus subject areas

  • Nephrology

Cite this

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abstract = "A post hoc analysis of a randomized trial comparing progression of chronic kidney disease among blacks and non-blacks provides an opportunity to explore statistical inference. Multiple comparisons without penalizing the P-value can lead to false positive results; this is illustrated using simulation. Tests of statistical interaction are then applied and interpreted to understand effect modification (or lack thereof) in the context of this trial.",
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