Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
3883287 | Kidney International | 2012 | 4 Pages |
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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Authors
Rajiv Agarwal,