# How to use likelihood ratios to interpret evidence from randomized trials

ContributorsPerneger, Thomas

Published inJournal of clinical epidemiology, vol. 136, p. 235-242

Publication date2021-08

First online date2021-04-27

Abstract

Keywords

- Clinical trials
- Confidence interval
- Evidence
- Likelihood ratio
- P-value
- Statistical inference
- Data Accuracy
- Data Interpretation, Statistical
- Humans
- Likelihood Functions
- Models, Statistical
- Proportional Hazards Models
- Randomized Controlled Trials as Topic / standards
- Randomized Controlled Trials as Topic / statistics & numerical data
- Research Design / standards
- Research Design / statistics & numerical data

Research group

Citation (ISO format)

PERNEGER, Thomas. How to use likelihood ratios to interpret evidence from randomized trials. In: Journal of clinical epidemiology, 2021, vol. 136, p. 235–242. doi: 10.1016/j.jclinepi.2021.04.010

Main files (1)

Article (Published version)

Identifiers

- PID : unige:167174
- DOI : 10.1016/j.jclinepi.2021.04.010
- PMID : 33930527

ISSN of the journal0895-4356