I saw some of the papers regarding predictive model performance using something called " likelihood ratio analysis". Below is an example:
" The likelihood ratios (LRs) of cut-offs for a positive test defined using the population within each risk group were calculated. The following categories for interpretation of the LRs were used: informative (LR<0·1 or >10); moderately informative (LR 0·1–0·2 or 5–10); and non-informative (LR 0·2–5)." Reference: A Risk Prediction Model for the Assessment and Triage of Women with Hypertensive Disorders of Pregnancy in Low-Resourced Settings: The miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) Multi-country Prospective Cohort Study
Can someone pls teach me how this is done (e.g. what R package I should use and how I can build my code/syntax)?
Thank you in advance!