Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers-Reference-Cited by-同舟云学术

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Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers

Published:2013-08-23 Issue:3 Volume:33 Page:517-535
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Austin Peter C.¹²³⁴,Steyerberg Ewout W.⁵

Affiliation:

1. Institute for Clinical Evaluative Sciences Toronto Ontario Canada

2. Institute of Health Management, Policy and Evaluation University of Toronto Toronto Ontario Canada

3. Dalla Lana School of Public Health University of Toronto Toronto Ontario Canada

4. Sunnybrook Research Institute Sunnybrook Health Sciences Centre Toronto Canada

5. Department of Public Health Erasmus MC – University Medical Center Rotterdam The Netherlands

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.5941

Reference33 articles.

1. Regression trees for predicting mortality in patients with cardiovascular disease: What improvement is achieved by using ensemble-based methods?

2. Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

3. Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes

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