Literature DB >> 32658649

A Framework for the Evaluation of Statistical Prediction Models.

Michael W Kattan1, Thomas A Gerds2.   

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.
Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Keywords:  medical decision-making; outcomes; prediction models

Mesh:

Year:  2020        PMID: 32658649     DOI: 10.1016/j.chest.2020.03.005

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  6 in total

1.  Clinical prediction is at the heart of preventing birth trauma and pelvic floor disorders for individual women.

Authors:  John Eric Jelovsek
Journal:  Int Urogynecol J       Date:  2021-04-17       Impact factor: 2.894

2.  Dynamic changes in heparin-binding protein as a prognostic biomarker for 30-day mortality in sepsis patients in the intensive care unit.

Authors:  Qing-Li Dou; Jiangping Liu; Wenwu Zhang; Ching-Wei Wang; Yanan Gu; Na Li; Rui Hu; Wan-Ting Hsu; Amy Huaishiuan Huang; Hoi Sin Tong; Tzu-Chun Hsu; Cheng-An Hsu; Jun Xu; Chien-Chang Lee
Journal:  Sci Rep       Date:  2022-06-24       Impact factor: 4.996

3.  Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts.

Authors:  Georgios Baskozos; Andreas C Themistocleous; Harry L Hebert; Mathilde M V Pascal; Jishi John; Brian C Callaghan; Helen Laycock; Yelena Granovsky; Geert Crombez; David Yarnitsky; Andrew S C Rice; Blair H Smith; David L H Bennett
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-29       Impact factor: 3.298

4.  A Clinical Nomogram for Predicting Cancer-Specific Survival in Pulmonary Large-Cell Neuroendocrine Carcinoma Patients: A Population-Based Study.

Authors:  Haochuan Ma; Zhiyong Xu; Rui Zhou; Yihong Liu; Yanjuan Zhu; Xuesong Chang; Yadong Chen; Haibo Zhang
Journal:  Int J Gen Med       Date:  2021-10-28

5.  Development and validation of a nomogram to predict overall survival for patients with metastatic renal cell carcinoma.

Authors:  Wenwen Zheng; Weiwei Zhu; Shengqiang Yu; Kangqi Li; Yuexia Ding; Qingna Wu; Qiling Tang; Quan Zhao; Congxiao Lu; Chenyu Guo
Journal:  BMC Cancer       Date:  2020-11-04       Impact factor: 4.430

Review 6.  Positive end-expiratory pressure-induced recruited lung volume measured by volume-pressure curves in acute respiratory distress syndrome: a physiologic systematic review and meta-analysis.

Authors:  Emanuele Turbil; Nicolas Terzi; Martin Cour; Laurent Argaud; Sharon Einav; Claude Guérin
Journal:  Intensive Care Med       Date:  2020-09-11       Impact factor: 17.440

  6 in total

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