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Methods to assess trustworthiness of data from peer-reviewed, published randomised controlled trials

Lyle C Gurrin1, Nicole Au2, Jeremy Nielsen2

  • 1School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia. lgurrin@unimelb.edu.au.

Reproductive Biology and Endocrinology : RB&E
|July 17, 2026
PubMed
Abstract

Keywords:
Artificial intelligenceDuplicationFabricationFalsificationFraud detectionIndividual participant dataRandomised controlled trialsResearch integrityTrustworthiness

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