Stopping randomized trials early for benefit and estimation of treatment effects: systematic review and meta-regression analysis.

By D. Bassler, M. Briel, Victor M. Montori, Melanie A. Lane, P. Glasziou, Qi Zhou, D. Heels-Ansdell, Stephen D. Walter, G. Guyatt, David N. Flynn and 43 more. Journal of the American Medical Association (JAMA), 2010

602 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a6fa3030ae887ed674222da4ae9889bda0cb1391

How researchers see this paper

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In Statistics and Probability

1. Holger J. Schünemann
2. G. Guyatt
3. J. Brożek
4. J. Meerpohl
5. Andrew D. Oxman
6. Elie A. Akl
7. G. Vist
8. Regina Kunz

Citations in the corpus

• GRADE guidelines 6. Rating the quality of evidence--imprecision. (2011, background): “Simulation studies [3] and empirical evidence [4,5] suggest that trials stopped early for benefit overestimate treatment effects.”
• GRADE guidelines: 4. Rating the quality of evidence--study limitations (risk of bias). (2011, background): “primarily or exclusively from trials stopped early for benefit, authors should infer that substantial overestimates are likely in trials with fewer than 500 events and that large overestimates are likely in trials with fewer than 200 events [9].”