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A Novel Design for Decision Rules Based on Statistical Testing Strategies of Binary Endpoints in a Definitive Go/No-Go Single-Treatment Clinical Study

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第一作者： Zhou, Ming

作者： Zhou, Ming ^[1] ; Shen, Larry Z.

作者单位： Bristol Myers Squibb Co, San Diego, CA USA ^[1]

关键词 statistical testing decision making Wilson score binary endpoint sample size

发布时间 2015-10-08

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Therapeutic innovation & regulatory science.

2014年48卷3期

327-335页

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Therapeutic innovation & regulatory science.

2014年48卷3期

327-335页

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A Novel Design for Decision Rules Based on Statistical Testing Strategies of Binary Endpoints in a Definitive Go/No-Go Single-Treatment Clinical Study

Therapeutic innovation & regulatory science.

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A Novel Design for Decision Rules Based on Statistical Testing Strategies of Binary Endpoints in a Definitive Go/No-Go Single-Treatment Clinical Study

Therapeutic innovation & regulatory science.

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Therapeutic innovation & regulatory science.

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