Making Sense of Statistics in Clinical Trial Reports: Part 1 of a 4-Part Series on Statistics for Clinical Trials.

Stuart J Pocock; John JV McMurray; Tim J Collier ORCID logo; (2015) Making Sense of Statistics in Clinical Trial Reports: Part 1 of a 4-Part Series on Statistics for Clinical Trials. Journal of the American College of Cardiology, 66 (22). pp. 2536-2549. ISSN 0735-1097 DOI: 10.1016/j.jacc.2015.10.014
Copy

This paper is a practical guide to the essentials of statistical analysis and reporting of randomized clinical trials (RCTs). It is the first in a series of 4 educational papers on statistical issues for RCTs, which will also include statistical controversies in RCT reporting and interpretation, the fundamentals of design for RCTs, and statistical challenges in the design and monitoring of RCTs. Here, we concentrate on displaying results in tables and figures, estimating treatment effects, expressing uncertainty using confidence intervals, and using p values wisely to assess the strength of evidence for a treatment difference. The various methods and their interpretation are illustrated by recent, topical cardiology trial results.


description
Making Sense of Statistics in Clinical Trial Reports 12102015.docx
subject
Accepted Version
Available under Creative Commons: NC-ND 3.0

Download

Atom BibTeX OpenURL ContextObject in Span Multiline CSV OpenURL ContextObject Dublin Core Dublin Core MPEG-21 DIDL EndNote HTML Citation JSON MARC (ASCII) MARC (ISO 2709) METS MODS RDF+N3 RDF+N-Triples RDF+XML RIOXX2 XML Reference Manager Refer Simple Metadata ASCII Citation EP3 XML
Export

Downloads