title: Multiple comparisons, interaction effects, and statistical inference: lessons from chronic kidney disease progression among blacks.
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.
authors.affiliation: Indiana University School of Medicine and Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana 46202, USA. ragarwal@iupui.edu
authors.forename: Rajiv
authors.initials: R
authors.lastname: Agarwal
mesh_terms: D001741:Black or African American; D000959:Antihypertensive Agents / Q000627:therapeutic use*; D002318:Cardiovascular Diseases / Q000517:prevention & control*; D005260:Female; D006801:Humans; D006973:Hypertension / Q000188:drug therapy*; D007668:Kidney / Q000187:drug effects*; D007676:Kidney Failure, Chronic / Q000517:prevention & control*; D008297:Male
chemical_list: D000959:Antihypertensive Agents