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Updated: Nov 5, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Identical summary statistics were uncommon in randomized trials and cohort studies
Mark J Bolland1, Greg D Gamble2, Alison Avenell3
1Department of Medicine, University of Auckland, Auckland, New Zealand; Department of Endocrinology, ADHB, Auckland, New Zealand.
Objective:
To examine the proposition that identical summary statistics (mean and/or SD) in different randomized controlled trials (RCT) or clinical cohorts can be explained by common or homogeneous source populations.
Study Design:
We estimated the probability of identical summary data in studies with high proportions of identical summary statistics, in simulations, and in control datasets.
Results:
The probability of both an identical mean and an identical SD for a variable in separate RCT is low (<~3%), unless the variable is rounded to 1 significant figure. In two RCT with identical summary statistics for 16 of 39 shared variables, simulations indicated the probability of the observed matches was <1 in 100,000. In 34 clinical cohorts with publication integrity concerns, the proportion of summary statistics from variables reported in ≥10 studies that were identical in ≥2 cohorts were high (42% for means, 52% for SD, and 29% for both), and improbable based on simulations and comparisons to control datasets.
Conclusions:
The likelihood of multiple identical summary statistics within an individual RCT or across a body of RCT or cohort studies by the same research group is low, especially when both the mean, and the SD are identical, unless the variables are rounded to 1 significant figure.
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