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A tutorial about diagnostic methodology with dementia data
Shanmugam, Ramalingam - In: International Journal of Data Analysis Techniques and … 1 (2009) 4, pp. 385-406
, specificity and prevalence of a diseased population in the chosen community for the research study. However, this statistical …The purpose of the diagnostic methodology is to discuss, estimate and interpret medical parameters such as sensitivity …
Persistent link: https://www.econbiz.de/10005048923
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Self-reported and measured BMI in Ireland: Should we adjust the obesity thresholds?
Madden, David - 2013
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-reported and measured BMI. We find that selfreported BMI significantly underestimates obesity rates and suggest that the traditional threshold of 30 should be adjusted downwards. We outline a number...
Persistent link: https://www.econbiz.de/10010293704
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Self-reported and measured BMI in Ireland : should we adjust the obesity thresholds?
Madden, David - 2013
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-reported and measured BMI. We find that selfreported BMI significantly underestimates obesity rates and suggest that the traditional threshold of 30 should be adjusted downwards. We outline a number...
Persistent link: https://www.econbiz.de/10009733392
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Self-Reported and Measured BMI in Ireland: Should We Adjust the Obesity Thresholds?
Madden, David - School of Economics, University College Dublin - 2013
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-reported and measured BMI. We find that self-reported BMI significantly underestimates obesity rates and suggest that the traditional threshold of 30 should be adjusted downwards. We outline a...
Persistent link: https://www.econbiz.de/10010610113
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Self-Reported and Measured BMI in Ireland: Should We Adjust the Obesity Thresholds?
Madden, D. - Department of Economics and Related Studies, University … - 2013
Using the nationally representative Slan dataset of 2007 we analyse the relationship between self-reported and measured BMI. We find that selfreported BMI significantly underestimates obesity rates and suggest that the traditional threshold of 30 should be adjusted downwards. We outline a number...
Persistent link: https://www.econbiz.de/10010631745
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Comparative assessment of three common algorithms for estimating the variance of the area under the nonparametric receiver operating characteristic curve
Cleves, Mario A. - 2002
The area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the discriminatory accuracy of a diagnostic test or modality, and to evaluate the predictive power of statistical models for binary outcomes. Parametric maximum likelihood methods for fitting...
Persistent link: https://www.econbiz.de/10009442283
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Comparison of scoring systems for invasive pests using ROC analysis and Monte Carlo simulations
Mittinty, Murthy; Makowski, David
assessing scoring systems. Its principle is to simulate virtual data using a stochastic model and, then, to estimate sensitivity … and specificity values from these data for different scoring systems. The interest of our approach was illustrated in a …
Persistent link: https://www.econbiz.de/10009483617
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Assessing cure status prediction from survival data using ROC curves
Amico, Mai͏̈lis; Van Keilegom, Ingrid - 2018
Persistent link: https://www.econbiz.de/10012050831
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A comparison of resampling techniques for medical data using machine learning
Alahmari, Fahad - In: Journal of information & knowledge management : JIKM 19 (2020) 1, pp. 2040016-1-2040016-13
Persistent link: https://www.econbiz.de/10012292647
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Survival Model Predictive Accuracy and ROC Curves
Heagerty, Patrick; Zheng, Yingye - Berkeley Electronic Press - 2004
by the model, or R^2, commonly used for continuous response models, or using extensions of sensitivity and specificity … on time-specific versions of sensitivity and specificity calculated over risk sets. We connect the accuracy summaries to … Cox regression output can be used to obtain estimates of time-dependent sensitivity and specificity, and time …
Persistent link: https://www.econbiz.de/10005246089