Moving beyond AUC: decision curve analysis for quantifying net benefit of risk prediction models

Eur Respir J. 2021 Sep 9:2101186. doi: 10.1183/13993003.01186-2021

Eur Respir J. 2021 Sep 9:2101186. doi: 10.1183/13993003.01186-2021

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Validation and Utility Testing of Clinical Prediction Models: Time to Change the Approach

JAMA. 2020 Jul 21;324(3):235-236

JAMA. 2020 Jul 21;324(3):235-236

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Should the number of acute exacerbations in the previous year be used to guide treatments in COPD?

Eur Respir J. 2020 Aug 27;2002122. doi: 10.1183/13993003.02122-2020.

Eur Respir J. 2020 Aug 27;2002122. doi: 10.1183/13993003.02122-2020.

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The Acute COPD Exacerbation Prediction Tool (ACCEPT): a modelling study

This Lancet Respiratory Medicine describes a new prediction model to predict COPD exacerbations using simple clinical predictors

This Lancet Respiratory Medicine describes a new prediction model to predict COPD exacerbations using simple clinical predictors

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A Threshold-Free Summary Index for Quantifying the Capacity of Covariates to Yield Efficient Treatment Rules

Statistic in Medicine. 2020;10.1002/sim.8481

Statistic in Medicine. 2020;10.1002/sim.8481

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The association between rate and severity of exacerbations in chronic obstructive pulmonary disease: an application of a joint frailty-logistic model

Am J Epidemiol. 2016;184(9):681–689

Am J Epidemiol. 2016;184(9):681–689

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Predicting severe COPD exacerbations: A population surveillance approach with administrative data

Under review

Under review

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An individualized prediction model for long-term lung function trajectory and risk of COPD in the general population

Chest. 2019 Sep 19. pii: S0012-3692(19)33868-1

Chest. 2019 Sep 19. pii: S0012-3692(19)33868-1

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