Statistical Controversies in Reporting of Clinical Trials Part 2 of a 4-Part Series on Statistics for Clinical Trials

[摘要] This paper tackles several statistical controversies that are commonly faced when reporting a major clinical trial. Topics covered include: multiplicity of data, interpreting secondary endpoints and composite endpoints, the value of covariate adjustment, the traumas of subgroup analysis, assessing individual benefits and risks, alternatives to analysis by intention to treat, interpreting surprise findings (good and bad), and the overall quality of clinical trial reports. All is put in the context of topical cardiology trial examples and is geared to help trialists steer a wise course in their statistical reporting, thereby giving readers a balanced account of trial findings. (C) 2015 by the American College of Cardiology Foundation.

[发布日期] 2015-12-15

[关键词] intention-to-treat analysis;logistic models;proportional hazards models;randomized controlled trials as topic;risk assessment;statistics