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Predictive probability of success (PPOS) is a statistics concept commonly used in pharmaceutical industry including by health authority to support decision making. In clinical trials, PPOS is the probability of observing a success in the future based on existing data. == Types of PPOS == * Classification based on type of end point: Normal, binary, time to event. * Classification based on the relationship between the trial providing data and the trial to be predicted # Cross trial PPOS: using data from one trial to predict the other trial # Within trial PPOS: using data at interim analysis to predict the same trial at final analysis * Classification based on the relationship between the end point(s) with data and the end point to be predicted # 1 to 1 PPOS: using one end point to predict the same end point # 1 to 1 * PPOS: using one end point to predict another different but correlated end point 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Predictive probability of success」の詳細全文を読む スポンサード リンク
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