Data from: Age, gender, neck circumference, and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): the challenge to predict OSA in advanced COPD

Soler X, Liao SY, Marin JM, Lorenzi-Filho G, Jen R, DeYoung P, Owens RL, Ries AL, Malhotra A

Date Published: June 6, 2017

DOI: http://dx.doi.org/10.5061/dryad.80h0d

 

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Title ROC_curve
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Description Receiver Operating Characteristics (ROC) analysis results to evaluate the effectiveness of continuous variables including age, BMI, neck circumference, tobacco (pack/years), number of cardiovascular events, and sleep questionnaires (STOP-Bang, PSQI, and ESS) in detecting OSA. Odds ratios (OR) obtained for each variable.
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Title cross_validation-results
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Description Cross validation output to confirm the results obtained. This procedure is a method to evaluate the predictive models by randomly dividing the samples into ten subsamples.
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Title logistic.-results0328
Downloaded 2 times
Description We performed a univariate logistic regression to evaluate the effectiveness of the proposed scoring tool.
Download logistic.-results0328.rtf (5.443 Mb)
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When using this data, please cite the original publication:

Soler X, Liao S, Marin JM, Lorenzi-Filho G, Jen R, DeYoung P, Owens RL, Ries AL, Malhotra A (2017) Age, gender, neck circumference, and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): the challenge to predict OSA in advanced COPD. PLOS ONE 12(5): e0177289. http://dx.doi.org/10.1371/journal.pone.0177289

Additionally, please cite the Dryad data package:

Soler X, Liao SY, Marin JM, Lorenzi-Filho G, Jen R, DeYoung P, Owens RL, Ries AL, Malhotra A (2017) Data from: Age, gender, neck circumference, and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): the challenge to predict OSA in advanced COPD. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.80h0d
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