RLO: Determining the clinical importance of trial results

 

Resources

Title/link Description
Confidence Intervals (RLO) Defines the term 'confidence intervals' and demonstrates how they can be used to determine the significance and range of possible sizes of a treatment effect.
Number needed to treat and number needed to harm (RLO) Considers how to measure and interpret the magnitude of effect in clinical trial results using number needed to treat (NNT) and number needed to harm (NNH).
Positive and predictive value of diagnostic tests (RLO) Explains how diagnostic test results are a combination of true and false positive, or true and false negative.
Relative risk reduction and absolute risk reduction (RLO) Considers how to measure and interpret the magnitude of effect in clinical trial results using relative risk reduction (RRR) and absolute risk reduction (ARR).
Surrogate Outcomes (RLO) Considers the type of evidence which should be used when making decisions about patient care.

Glossary

 

RLO Transcript (Rich Text Format 61kb)

 

© 2007 School of Nursing and Academic Division of Midwifery, University of Nottingham

Developer: Neil Duffin

Content authors: Elaine Bentley, Julia Lacey, Briony Leighton

RLO released: 14th March, 2007

Page last updated: 29 March, 2021