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Dataset Information

Application of Statistical Methods for Central Statistical Monitoring and Implementations on the German Multiple Sclerosis Registry.


ABSTRACT: Monitoring of clinical trials is a fundamental process required by regulatory agencies. It assures the compliance of a center to the required regulations and the trial protocol. Traditionally, monitoring teams relied on extensive on-site visits and source data verification. However, this is costly, and the outcome is limited. Thus, central statistical monitoring (CSM) is an additional approach recently embraced by the International Council for Harmonisation (ICH) to detect problematic or erroneous data by using visualizations and statistical control measures. Existing implementations have been primarily focused on detecting inlier and outlier data. Other approaches include principal component analysis and distribution of the data. Here we focus on the utilization of comparisons of centers

SUBMITTER: Fneish F 

PROVIDER: S-EPMC10579126 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature