A Framework for the Evaluation of Statistical Prediction Models

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

A Framework for the Evaluation of Statistical Prediction Models. / Kattan, Michael W.; Gerds, Thomas A.

In: Chest, Vol. 158, No. 1, 2020, p. S29-S38.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Kattan, MW & Gerds, TA 2020, 'A Framework for the Evaluation of Statistical Prediction Models', Chest, vol. 158, no. 1, pp. S29-S38. https://doi.org/10.1016/j.chest.2020.03.005

APA

Kattan, M. W., & Gerds, T. A. (2020). A Framework for the Evaluation of Statistical Prediction Models. Chest, 158(1), S29-S38. https://doi.org/10.1016/j.chest.2020.03.005

Vancouver

Kattan MW, Gerds TA. A Framework for the Evaluation of Statistical Prediction Models. Chest. 2020;158(1):S29-S38. https://doi.org/10.1016/j.chest.2020.03.005

Author

Kattan, Michael W. ; Gerds, Thomas A. / A Framework for the Evaluation of Statistical Prediction Models. In: Chest. 2020 ; Vol. 158, No. 1. pp. S29-S38.

Bibtex

@article{2d50aa6ec14e4c2f881adf4225f2b54d,
title = "A Framework for the Evaluation of Statistical Prediction Models",
abstract = "We have entered the era of {"}big data{"} and with that the explosion of interest in prediction modeling. With this explosion comes the challenge of evaluating statistical prediction models, both from the standpoint of an author as well as a reviewer. This article provides guidance for the evaluation and critique of a statistical prediction model. Hopefully, this will improve the quality of statistical prediction modeling studies and facilitate their review.",
keywords = "medical decision-making, outcomes, prediction models, ABSOLUTE RISK, REGRESSION",
author = "Kattan, {Michael W.} and Gerds, {Thomas A.}",
year = "2020",
doi = "10.1016/j.chest.2020.03.005",
language = "English",
volume = "158",
pages = "S29--S38",
journal = "Chest",
issn = "0012-3692",
publisher = "American College of Chest Physicians",
number = "1",

}

RIS

TY - JOUR

T1 - A Framework for the Evaluation of Statistical Prediction Models

AU - Kattan, Michael W.

AU - Gerds, Thomas A.

PY - 2020

Y1 - 2020

N2 - We have entered the era of "big data" and with that the explosion of interest in prediction modeling. With this explosion comes the challenge of evaluating statistical prediction models, both from the standpoint of an author as well as a reviewer. This article provides guidance for the evaluation and critique of a statistical prediction model. Hopefully, this will improve the quality of statistical prediction modeling studies and facilitate their review.

AB - We have entered the era of "big data" and with that the explosion of interest in prediction modeling. With this explosion comes the challenge of evaluating statistical prediction models, both from the standpoint of an author as well as a reviewer. This article provides guidance for the evaluation and critique of a statistical prediction model. Hopefully, this will improve the quality of statistical prediction modeling studies and facilitate their review.

KW - medical decision-making

KW - outcomes

KW - prediction models

KW - ABSOLUTE RISK

KW - REGRESSION

U2 - 10.1016/j.chest.2020.03.005

DO - 10.1016/j.chest.2020.03.005

M3 - Journal article

C2 - 32658649

VL - 158

SP - S29-S38

JO - Chest

JF - Chest

SN - 0012-3692

IS - 1

ER -

ID: 246820881