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Ulnar collateral ligament (UCL) tears have moved from a career-ending injury to one in which success is almost expected from reconstruction. In reality, however, success from a UCL reconstruction is not guaranteed. As we have attempted to assess the true success rate of UCL reconstructions, we have also learned the difficulties of this assessment.
View Article and Find Full Text PDFEditorial Commentary: The Statistical Fragility Index of Medical Trials Is Low By Design: Critical Evaluation of Confidence Intervals Is Required.
Arthroscopy
March 2024
Boston, Massachusetts, U.S.A.; Foxborough, Massachusetts, U.S.A.
Article Synopsis
- The Fragility Index (FI) measures how many patient outcomes must change for a clinical trial's results to lose statistical significance, but its usefulness is limited to understanding statistical significance alone.
- Well-designed clinical trials focus on a minimum required sample size for reliability, making them inherently fragile.
- Confidence intervals (CIs) provide a better understanding of result precision and uncertainty, suggesting that a large FI doesn't necessarily indicate strong findings; thus, emphasis should shift from FI to CI.
Commentary: A structural approach to Berkson's fallacy and a guide to a history of opinions about it.
Int J Epidemiol
April 2014
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Center for the Biology of Natural Systems, Queens College, City University of New York, New York, USA, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA, Department of Epidemiology, Departments of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA, USA and Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Commentary: Berkson's fallacy and missing data.
Int J Epidemiol
April 2014
Department of Epidemiology, UNC-Chapel Hill, Chapel Hill, NC, USA and Department of Medical Statistics and Centre for Statistical Methodology, London School of Hygiene and Tropical Medicine, London, UK.
Commentary: Three worlds collide: Berkson's bias, selection bias and collider bias.
Int J Epidemiol
April 2014
Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK and Centre for Public Health Research, Massey University, Wellington, New Zealand and Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Italy.
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