Significance Testing for Differences Between Baseline Variables Versus the I2 Test in Detecting Selection Bias in Randomised Controlled Trials: A Simulation Study

The I<sup>2</sup> test appears to be a more effective method than the p-value-based significance test for detecting selection bias in RCTs.

Authors

Steffen Mickenautsch (ORCID: https://orcid.org/0000-0002-4994-2328)
Veerasamy Yengopal (ORCID: https://orcid.org/0000-0003-4284-3367)

Institutions

University of the Witwatersrand (ZA)
University of the Western Cape (ZA)

Publication Details

Journal: Cureus
Published: 2024-12-30
DOI: https://doi.org/10.7759/cureus.76607
Citations: 1
Primary Topic: Statistical Methods in Clinical Trials
Type: article
Field-Weighted Citation Impact: 0.71

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article

Significance Testing for Differences Between Baseline Variables Versus the I2 Test in Detecting Selection Bias in Randomised Controlled Trials: A Simulation Study

Steffen Mickenautsch, Veerasamy Yengopal

Dec 30, 2024

1 citations

Cureus

Statistical Methods in Clinical Trials

0.71

article

Significance Testing for Differences Between Baseline Variables Versus the I2 Test in Detecting Selection Bias in Randomised Controlled Trials: A Simulation Study

Steffen Mickenautsch, Veerasamy Yengopal

December 30, 2024article en

1 citations

Abstract

The I<sup>2</sup> test appears to be a more effective method than the p-value-based significance test for detecting selection bias in RCTs.

CureusVol. 16(12)

University of the Witwatersrand (ZA), University of the Western Cape (ZA)

Openalex Percentile: Top 23%

Statistical Methods in Clinical Trials

0.71

DOI Open Access PDF OpenAlex

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Significance Testing for Differences Between Baseline Variables Versus the I2 Test in Detecting Selection Bias in Randomised Controlled Trials: A Simulation Study — Steffen Mickenautsch, Veerasamy Yengopal · Cureus (2024) | TGRS Research Map | TGRS