Journal ArticleDOI
Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.
Ewout W. Steyerberg,Frank E. Harrell,Gerard J. J. M. Borsboom,Marinus J.C. Eijkemans,Yvonne Vergouwe,J. Dik F. Habbema +5 more
TLDR
It is concluded that split-sample validation is inefficient, and bootstrapping is recommended for estimation of internal validity of a predictive logistic regression model.About:
This article is published in Journal of Clinical Epidemiology.The article was published on 2001-08-01. It has received 2155 citations till now. The article focuses on the topics: Bootstrapping (statistics) & Logistic regression.read more
Citations
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Journal ArticleDOI
Assessing the performance of prediction models: a framework for traditional and novel measures.
Ewout W. Steyerberg,Andrew J. Vickers,Nancy R. Cook,Thomas A. Gerds,Mithat Gonen,Nancy A Obuchowski,Michael J. Pencina,Michael W. Kattan +7 more
TL;DR: It is suggested that reporting discrimination and calibration will always be important for a prediction model and decision-analytic measures should be reported if the predictive model is to be used for clinical decisions.
Journal ArticleDOI
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.
Karel G.M. Moons,Douglas G. Altman,Johannes B. Reitsma,John P. A. Ioannidis,Petra Macaskill,Ewout W. Steyerberg,Andrew J. Vickers,David F. Ransohoff,Gary S. Collins +8 more
TL;DR: In virtually all medical domains, diagnostic and prognostic multivariable prediction models are being developed, validated, updated, and implemented with the aim to assist doctors and individuals in estimating probabilities and potentially influence their decision making.
Journal ArticleDOI
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement
TL;DR: The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used, and is best used in conjunction with the TRIPod explanation and elaboration document.
Journal ArticleDOI
What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models.
TL;DR: The notion of overfitting is presented in terms of asking too much from the available data, and three common practices—automated variable selection, pretesting of candidate predictors, and dichotomization of continuous variables—are shown to pose a considerable risk for spurious findings in models.
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The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population
Giorgio Bedogni,Stefano Bellentani,L. Miglioli,Flora Masutti,Marilena Passalacqua,A. Castiglione,Claudio Tiribelli +6 more
TL;DR: FLI is simple to obtain and may help physicians select subjects for liver ultrasonography and intensified lifestyle counseling, and researchers to select patients for epidemiologic studies, but validation of FLI in external populations is needed before it can be employed for these purposes.
References
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Book
An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
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An Introduction to the Bootstrap.
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Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
TL;DR: In this article, an easily interpretable index of predictive discrimination as well as methods for assessing calibration of predicted survival probabilities are discussed, which are particularly needed for binary, ordinal, and time-to-event outcomes.
Journal ArticleDOI
A simulation study of the number of events per variable in logistic regression analysis.
Peter Peduzzi,John Concato,John Concato,Elizabeth Kemper,Elizabeth Kemper,Theodore R. Holford,Alvan R. Feinstein,Alvan R. Feinstein +7 more
TL;DR: Findings indicate that low EPV can lead to major problems, and the regression coefficients were biased in both positive and negative directions, and paradoxical associations (significance in the wrong direction) were increased.
Journal ArticleDOI
A note on a general definition of the coefficient of determination
TL;DR: In this article, a generalization of the coefficient of determination R2 to general regression models is discussed, and a modification of an earlier definition to allow for discrete models is proposed.