SAMPLE SIZES OF CLINICAL TRIALS: FOR SCIENCE AND DECISION MAKING(Keynote Papers)

スポンサーリンク

概要

• 論文の詳細を見る

• Implicit assumptions in the current use of the Neyman-Pearson approach to sample size calculations when planning for medical clinical trials are noted. The pros and cons of using decision theory instead of or to supplement Neyman-Pearson when planning such trials are discussed. Why the sample sizes suggested by these two approaches are often very different is explained. A computer program is presented and described for the two arm completely randomized trial with a binary endpoint. This program is available from the WEB, requires simple practical input, and is intended to be easily used by the clinical scientist and biostatistician. An example of its use is given which illustrates the additional quantitative insights afforded by using decision theory together with the more customary Neyman-Pearson approach to design clinical trials.

• 日本計算機統計学会の論文

著者

• Brown Jr.

  Division Of Biostatistics Department Of Health Research And Policy School Of Medicine Stanford Unive

• Halpern Jerry

  Division Of Biostatistics Department Of Health Research And Policy School Of Medicine Stanford Unive

関連論文

• SAMPLE SIZES OF CLINICAL TRIALS: FOR SCIENCE AND DECISION MAKING(Keynote Papers)

スポンサーリンク