2019
DOI: 10.1002/pst.1964
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Empirical evaluation of the implementation of the EMA guideline on missing data in confirmatory clinical trials: Specification of mixed models for longitudinal data in study protocols

Abstract: SummaryIn confirmatory clinical trials, the prespecification of the primary analysis model is a universally accepted scientific principle to allow strict control of the type I error. Consequently, both the ICH E9 guideline and the European Medicines Agency (EMA) guideline on missing data in confirmatory clinical trials require that the primary analysis model is defined unambiguously. This requirement applies to mixed models for longitudinal data handling missing data implicitly. To evaluate the compliance with… Show more

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Cited by 8 publications
(10 citation statements)
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“…The means of changes from baseline values were calculated and analyzed using a restricted maximum likelihood (REML)-based repeated measures approach combined with the Newton Raphson algorithm. The analytical model included fixed categorical effects of treatment, visit, and treatment-by-visit interaction [ 26 ]. Akaike Information Criteria were used to choose the working correlation structures for modeling the within‐patient errors among an unstructured covariance structure, autoregressive (1) structure, and a compound symmetry structure.…”
Section: Methodsmentioning
confidence: 99%
“…The means of changes from baseline values were calculated and analyzed using a restricted maximum likelihood (REML)-based repeated measures approach combined with the Newton Raphson algorithm. The analytical model included fixed categorical effects of treatment, visit, and treatment-by-visit interaction [ 26 ]. Akaike Information Criteria were used to choose the working correlation structures for modeling the within‐patient errors among an unstructured covariance structure, autoregressive (1) structure, and a compound symmetry structure.…”
Section: Methodsmentioning
confidence: 99%
“…The EMA multiplicity guideline 2 highlights this problem of (unnoticed) selection of a favorable analysis from a variety of analysis options all in line with imprecise model specifications. While the theoretical multiplicity problem is known and addressed in the guideline, preliminary research shows that the compliance with the guideline is poor for a specific type of analysis models 23 …”
Section: Introductionmentioning
confidence: 99%
“…If the specification of a single model item is altered, different results may be produced. Häckl et al 23 have conducted an empirical evaluation of the specifications of MMRMs in study protocols submitted to the Ethics committee at Hannover Medical School. It could be revealed that not a single study protocol specified all necessary model items (0/39).…”
Section: Introductionmentioning
confidence: 99%
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