title: The prediction philosophy in statistics.
abstract: Estimation and hypothesis testing have been popular in applied statistical analysis. More recently, emphasis has been placed on prediction. Traditional questions of estimation and hypothesis testing are being reframed as problems of prediction, and as such, the methods and approaches have shifted. The reporting of P values is de-emphasized from the prediction philosophy perspective, and incremental predictive accuracy has become the metric of choice. Ties to individual patient decision making and outcomes research are presented.
authors.affiliation: Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44195, USA. kattanm@ccf.org
authors.forename: Michael W
authors.initials: MW
authors.lastname: Kattan
authors.forename: Mithat
authors.initials: M
authors.lastname: Gönen
mesh_terms: D006801:Humans; D015233:Models, Statistical; D010684:Philosophy; D016032:Randomized Controlled Trials as Topic; D013223:Statistics as Topic / Q000379:methods*