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Farcomeni, Alessio and Ventura, Laura (2010) An overview of robust methods in medical research. [Working Paper] WORKING PAPER SERIES, 2/2010 . , PADOVA

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Abstract (english)

Robust statistics is an extension of classical parametric statistics that specifically takes into account the fact that the assumed parametric models used by the researchers are only approximate. In this paper we review and outline how robust inferential procedures may routinely be applied in practice in the biomediacal research. Numerical illustrations are given for the t-test, regression models, logistic regression, survival analysis and ROC curves, showing that robust methods are often more appropriate than standard procedures.


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EPrint type:Working Paper
Anno di Pubblicazione:March 2010
More information:Pubblicato anche in: Statistical methods in medical research, (2012) 21, 111-133.
Key Words:Breakdown point, Influence function, Likelihood methods, Logistic regression, M-estimation, Regression-scale model, R, ROC curve, Student t-test, Survival analysis
Settori scientifico-disciplinari MIUR:Area 13 - Scienze economiche e statistiche > SECS-S/01 Statistica
Struttura di riferimento:Dipartimenti > Dipartimento di Scienze Statistiche
Codice ID:8790
Depositato il:14 May 2015 17:19
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