Type-I-error rate inflation in mixed models for repeated measures caused by ambiguous or incomplete model specifications

Introduction: The precise pre-specification of primary analysis methods is essential for controlling the type-I-error (T1E) rate in confirmatory clinical trials at the intended level (typically 5%). Mixed Models for Repeated Measures (MMRM) are frequently applied for analyzing longitudinal data [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds080
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
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article

Type-I-error rate inflation in mixed models for repeated measures caused by ambiguous or incomplete model specifications

German Medical Science (German Research Foundation)
Statistical Methods in Clinical Trials
article

Type-I-error rate inflation in mixed models for repeated measures caused by ambiguous or incomplete model specifications

article en

Abstract

Introduction: The precise pre-specification of primary analysis methods is essential for controlling the type-I-error (T1E) rate in confirmatory clinical trials at the intended level (typically 5%). Mixed Models for Repeated Measures (MMRM) are frequently applied for analyzing longitudinal data [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
European Medicines Agency (NL), Medizinische Hochschule Hannover (DE)
Decent work and economic growth
Openalex Percentile: Top 36%
Statistical Methods in Clinical Trials
DOIOpen Access PDFOpenAlex
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Type-I-error rate inflation in mixed models for repeated measures caused by ambiguous or incomplete model specifications · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS