Carlisle, J. B.

The analysis of 168 randomised controlled trials to test data integrity

Carlisle, J. B. (2012) · Anaesthesia

Academic integrity and plagiarismBenford’s Law and Fraud Detection

Cited by 255

Data fabrication and other reasons for non‐random sampling in 5087 randomised, controlled trials in anaesthetic and general medical journals

Carlisle, J. B. (2017) · Anaesthesia

Academic integrity and plagiarismBenford’s Law and Fraud Detection

Cited by 229

False individual patient data and zombie randomised controlled trials submitted to Anaesthesia

Carlisle, J. B. (2021) · Anaesthesia

Academic integrity and plagiarismBenford’s Law and Fraud Detection

Cited by 173

Calculating the probability of random sampling for continuous variables in submitted or published randomised controlled trials

Carlisle, J. B., Dexter, F., Pandit, J. J., Shafer, S. L., & Yentis, S. M. (2015) · Anaesthesia

Benford’s Law and Fraud DetectionStatistical Methods in Clinical Trials

Cited by 87

Evidence for non‐random sampling in randomised, controlled trials by Yuhji Saitoh

Carlisle, J. B., & Loadsman, J. A. (2017) · Anaesthesia

Academic integrity and plagiarismBenford’s Law and Fraud Detection

Cited by 64

Evidence for compromised data integrity in studies of liberal peri‐operative inspired oxygen

Myles, P. S., Carlisle, J. B., & Scarr, B. (2019) · Anaesthesia

Academic integrity and plagiarismBenford’s Law and Fraud Detection

Cited by 64

Protocol for the development of a tool (INSPECT-SR) to identify problematic randomised controlled trials in systematic reviews of health interventions

Wilkinson, J., Heal, C., Antoniou, G. A., Flemyng, E., Alfirevic, Z., Avenell, A., Barbour, G., Brown, N. J. L., Carlisle, J., Clarke, M., et al. (2024) · BMJ Open

Meta-analysis and systematic reviewsAcademic integrity and plagiarism

Cited by 45