Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II

• Published in: The American statistician Vol. 73; no. sup1; pp. 305 - 311
• Main Authors: Manski, Charles F., Tetenov, Aleksey
• Format: Journal Article
• Language: English
• Published: Alexandria Taylor & Francis 29.03.2019; Taylor & Francis, Ltd; American Statistical Association
• Subjects: Adopting More Holistic Approaches; Analysis of treatment response; Clinical trials; Dissection; Medical decisions; Minimax regret; Regression analysis; Sample size; Side effects; Statistical methods; Statistical power; Statistics; Surveillance

A convention in designing randomized clinical trials has been to choose sample sizes that yield specified statistical power when testing hypotheses about treatment response. Manski and Tetenov recently critiqued this convention and proposed enrollment of sufficiently many subjects to enable near-opt...