2016
DOI: 10.1186/s12874-016-0170-y
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Best practice for analysis of shared clinical trial data

Abstract: BackgroundGreater transparency, including sharing of patient-level data for further research, is an increasingly important topic for organisations who sponsor, fund and conduct clinical trials. This is a major paradigm shift with the aim of maximising the value of patient-level data from clinical trials for the benefit of future patients and society. We consider the analysis of shared clinical trial data in three broad categories: (1) reanalysis - further investigation of the efficacy and safety of the randomi… Show more

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Cited by 18 publications
(15 citation statements)
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“…Although the trials were powered for the primary endpoint and were controlled for multiplicity for all secondary endpoints, they were not powered for the type of analyses presented here. Further, post hoc analyses are typically not adjusted for multiple comparisons as they are exploratory, rather than confirmatory in nature [1921]. In this context, presented p -values are nominal and should be considered cautiously.…”
Section: Discussionmentioning
confidence: 99%
“…Although the trials were powered for the primary endpoint and were controlled for multiplicity for all secondary endpoints, they were not powered for the type of analyses presented here. Further, post hoc analyses are typically not adjusted for multiple comparisons as they are exploratory, rather than confirmatory in nature [1921]. In this context, presented p -values are nominal and should be considered cautiously.…”
Section: Discussionmentioning
confidence: 99%
“…38 Flaws were also concentrated in the reporting of additional analyses, such as cal mechanisms, clinical experience, and study evidence is more reliable than a post hoc analysis for determining causal association. 39 Therefore, the CONSORT statement requires authors to distinguish the predesigned confirmatory analyses from the post hoc exploratory analyses. Unfortunately, only 13 (24.5%) RCTs reported these details.…”
Section: Discussionmentioning
confidence: 99%
“…Recent guidance on the use and appraisal of IPDMAs [140,141], reporting standards [130], data sharing [49], and statistical techniques [128] have influenced these policies.…”
Section: Discussionmentioning
confidence: 99%