Linked from

The 15 pages that link to Likelihood ratio, each with the reason it gives.

• Differential diagnosisRelated: It quantifies how strongly a test can reorder the candidate diagnoses.

• Forensic scienceRelated: Forensic evaluators use it to express how strongly findings favor one proposition over another.

• EvidenceBroader topic: It measures how strongly an observation favors one claim over another.

• DNA profilingRelated: It expresses how strongly a DNA profile supports one comparison hypothesis over another.

• Likelihood functionBroader topic: It quantifies how much more strongly the observed data support one parameter value than another.

• Diagnostic testRelated: Likelihood ratios show how strongly a result shifts diagnostic probability.

• Sensitivity and specificityRelated: Likelihood ratios combine sensitivity and specificity to summarize how a result shifts diagnostic odds.

• Circumstantial evidenceRelated: It measures whether a fact favors one explanation over a competing one.

• Forensic evidenceRelated: It expresses the strength of support evidence gives to one proposition over another.

• Radon–Nikodym theoremRelated: It is a Radon–Nikodym derivative when one probability law is absolutely continuous with respect to another.

• Forensic geneticsRelated: Forensic reports use it to compare competing explanations of a DNA profile.

• Trace evidenceRelated: It expresses the strength of a trace comparison without treating an association as certainty.

• Base rate fallacyRelated: It measures how strongly specific evidence should shift odds from the base rate.

• DNA fingerprintingRelated: Forensic DNA evidence is commonly expressed as support for competing source hypotheses.

• Medical testRelated: Likelihood ratios connect test performance to the probability of disease before testing.