PredictABEL: an R package for the assessment of risk prediction models

被引：209

作者：

Kundu, Suman ^{[1
]}

Aulchenko, Yurii S. ^{[1
]}

van Duijn, Cornelia M. ^{[1
]}

Janssens, A. Cecile J. W. ^{[1
]}

机构：

[1] Erasmus MC, Dept Epidemiol, NL-3000 CA Rotterdam, Netherlands

来源：

EUROPEAN JOURNAL OF EPIDEMIOLOGY | 2011年 / 26卷 / 04期

关键词：

Risk prediction; Genetic; Assessment; Measures; Software; ROC CURVE; AREA;

D O I：

10.1007/s10654-011-9567-4

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

The rapid identification of genetic markers for multifactorial diseases from genome-wide association studies is fuelling interest in investigating the predictive ability and health care utility of genetic risk models. Various measures are available for the assessment of risk prediction models, each addressing a different aspect of performance and utility. We developed PredictABEL, a package in R that covers descriptive tables, measures and figures that are used in the analysis of risk prediction studies such as measures of model fit, predictive ability and clinical utility, and risk distributions, calibration plot and the receiver operating characteristic plot. Tables and figures are saved as separate files in a user-specified format, which include publication-quality EPS and TIFF formats. All figures are available in a ready-made layout, but they can be customized to the preferences of the user. The package has been developed for the analysis of genetic risk prediction studies, but can also be used for studies that only include non-genetic risk factors. PredictABEL is freely available at the websites of GenABEL (http://www.genabel.org) and CRAN (http://cran.r-project.org/).

引用

页码：261 / 264

页数：4

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