Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45871
Title: Detection of Outlying Correlation Coefficients in Multicenter Clinical Trials
Authors: Desmet, Lieven
Venet, David
Trotta, Laura
BURZYKOWSKI, Tomasz 
BUYSE, Marc 
Issue Date: 2025
Publisher: WILEY
Source: Pharmaceutical statistics, 24 (3) (Art N° e70013)
Abstract: Central statistical monitoring aims at finding centers whose data distribution differs significantly from the other centers in multicentric clinical trials. Such differences may point to data quality issues due to negligence, misconduct, or fraud. Data distributions can be compared across centers in many different ways, depending on the type of data (e.g., numerical or categorical), whether a univariate or a multivariate comparison is performed, and so on. In that framework, we present two methods aimed at detecting centers with outlying bivariate Pearson correlation coefficients. One of the methods directly compares the correlations across centers. The other method conditions the test on one of the marginal standard deviations, which makes the test on correlation independent of the centers' standard deviations. Both methods are shown to perform equally well on simulated data. They are also applied on real world data, where they identify centers with outlying correlations. The findings of the two tests are compared, showing that they concord for centers with average standard deviations, but differ for centers with extreme standard deviations. While the focus here is on central statistical monitoring, the methods are general and can be used in other settings.
Notes: Desmet, L (corresponding author), Catholic Univ Louvain, Inst Stat Biostat & Sci Actuarielles, Louvain La Neuve, Belgium.
lieven.desmet@uclouvain.be
Keywords: correlation;multicenter clinical trial;statistical monitoring
Document URI: http://hdl.handle.net/1942/45871
ISSN: 1539-1604
e-ISSN: 1539-1612
DOI: 10.1002/pst.70013
ISI #: 001456647100001
Rights: 2025 John Wiley & Sons Ltd.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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