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| These [[attachment:posneglik.pdf | pdf slides]] indicate how to use specificity and sensitivity to obtain positive and negative likelihood ratios and rules of thumb to evaluate them to assess discrimination of the model. | Slide ten of these [[attachment:posneglik.pdf | pdf slides]] indicates rules of thumb for assessing positive and negative likelihood ratios to evaluate them to assess discrimination of the model. where Positive likelihood ratio = Sensitivity / (1 - Specificity) Negative likelihood ratio = (1 - Sensitivity) / Specificity The slides also briefly mention Hierarchical ROC curves which are useful for plotting curves combining within and between study variances from studies in meta-analyses. __Reference__ Jaeschke R, Guyatt, GH and Saclett DL (1994) Users guides to the medical literature. III. How to use an article abotu a diagnostic test. B. What are the results and will they help me in caring for my patients? The Evidence-Based medicine Working Group. ''Journal of the American medical Association'', '''271(9)''', 703-707. |
Positive and negative likelihood ratios
Slide ten of these pdf slides indicates rules of thumb for assessing positive and negative likelihood ratios to evaluate them to assess discrimination of the model.
where
Positive likelihood ratio = Sensitivity / (1 - Specificity)
Negative likelihood ratio = (1 - Sensitivity) / Specificity
The slides also briefly mention Hierarchical ROC curves which are useful for plotting curves combining within and between study variances from studies in meta-analyses.
Reference
Jaeschke R, Guyatt, GH and Saclett DL (1994) Users guides to the medical literature. III. How to use an article abotu a diagnostic test. B. What are the results and will they help me in caring for my patients? The Evidence-Based medicine Working Group. Journal of the American medical Association, 271(9), 703-707.