Estimating the Power of Indirect Comparisons: A Simulation Study
Edward J. Mills; Isabella Ghement; Christopher O’Regan; Kristian Thorlund · 2011 · PLoS ONE
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: Indirect comparisons are becoming increasingly popular for evaluating medical treatments that have not been compared head-to-head in randomized clinical trials (RCTs). While indirect methods have grown in popularity and acceptance, little is known about the fragility of confidence interval estimations and hypothesis testing relying on this method. METHODS: We present the findings of a simulation study that examined the fragility of indirect confidence interval estimation and hypothesis testing relying on the adjusted indirect method. FINDINGS: Our results suggest that, for the sett
Abstract by Edward J. Mills; Isabella Ghement; Christopher O’Regan; Kristian Thorlund, PLoS ONE (2011) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pone.0016237