Diagnostic tests 4: likelihood ratios

By J. Deeks, Douglas G. Altman. British medical journal, 2004

1,562 citations recorded by the source corpus.

Subfields: Epidemiology, Health Information Management, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4ff6e4a6c45e53dcfd8d85ff7aa334f832e14b9a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Epidemiology

1. L. Helmus
2. Alaa Tharwat
3. K. Babchishin

In Health Information Management

1. L. Helmus
2. Alaa Tharwat
3. K. Babchishin

In Statistics and Probability

1. L. Helmus
2. Alaa Tharwat
3. K. Babchishin

Citations in the corpus

• Predicting Difficult Intubation in Apparently Normal Patients: A Meta-analysis of Bedside Screening Test Performance (2005, background): “We calculated posttest probability because it enabled us to generalize our results for varying previous incidence.(10,11) Calculation of posttest probabilities by means of likelihood ratios is shown in table 2.”
• Classification assessment methods (2020, background): “Both measures depend on the sensitivity and specificity measures; thus, they are suitable for balanced and imbalanced data [6].”
• Primer on Risk Assessment and the Statistics Used to Evaluate Its Accuracy (2017, methodology): “Likelihood ratios are widely used to assess diagnostic accuracy (Deeks & Altman, 2004) and can be combined with base rates to estimate the probability that a disease is present given that certain indicators are present.”