Related Experiment Video
Updated: Jul 19, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
An extended likelihood ratio framework for interpreting evidence
J S Buckleton1, C M Triggs, C Champod
1University of Auckland, Private Bag 92019, Auckland, New Zealand.
Abstract:
This paper reviews some current methods, the likelihood ratio-based approach and the full Bayesian approach for the interpretation of evidence and discusses previously identified shortcomings in them. It suggests an approach based on a compromise--based on an extended likelihood ratio--that may combine the merits of logic without overstepping acceptable bounds for the forensic scientist in the presentation of evidence. The approach is exposed formally and takes advantage of inferential networks called Bayesian networks.
Related Concept Videos
Odds Ratio
Hazard Ratio
For example, in a clinical trial evaluating a...
Relative Risk
Criteria for Causality: Bradford Hill Criteria - II
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Introduction to Epidemiology