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Making Sense of Statistics in Clinical Trial Reports: Part 1 of a 4-Part Series on Statistics for Clinical Trials.
Pocock, Stuart J; McMurray, John J V; Collier, Tim J.
Affiliation
  • Pocock SJ; Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, United Kingdom. Electronic address: Stuart.Pocock@LSHTM.ac.uk.
  • McMurray JJ; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.
  • Collier TJ; Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, United Kingdom.
J Am Coll Cardiol ; 66(22): 2536-49, 2015 Dec 08.
Article in En | MEDLINE | ID: mdl-26653629
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.
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Full text: 1 Database: MEDLINE Main subject: Data Display / Clinical Trials as Topic / Data Interpretation, Statistical Type of study: Clinical_trials Limits: Humans Language: En Journal: J Am Coll Cardiol Year: 2015 Type: Article

Full text: 1 Database: MEDLINE Main subject: Data Display / Clinical Trials as Topic / Data Interpretation, Statistical Type of study: Clinical_trials Limits: Humans Language: En Journal: J Am Coll Cardiol Year: 2015 Type: Article