当终点数据存在非随机确实的时候,临床连续型数据常规的分析方法很多就不适用,比如混合线性模型和方差分析模型等,此时就需要使用tipping point analysis来分辨是否常规方法统计结果对缺失数据敏感,如果不敏感的话,说明即使存在非随机缺失数据,对常规分析方法结果影响较小,常规分析方法结果是比较稳健的。 连续终点的临界值分析...
The tipping point analysis can be easily implemented using SAS procedurePROC MIand the brief instructions can be found inSensitivity Analysis with the Tipping-Point Approachwhere it uses theMONOTONEstatement to impute the missing data and theMNARstatement to adjust the imputed data by a range of spe...
而tipping point analysis就是要做下压力测试,即估计需要数据缺失多大程度上背离MAR,主分析的结果会被推翻(由变为)。特别是在临床试验中,由于我们很难基于收集到的数据有百分百的把握确认MAR的缺失,这个时候,tipping point analysis的结果对于主分析的结论就有一定程度上的验证能力了。
Beyond the Tipping Point: Tackling Interest Rate and Liquidity Risk for Future-Ready Banking Learn from top experts and discover what’s needed for a stronger, more resilient banking sector. About the webinar The U.S. interest rate hikes since February 2022 have exposed deep vulnerabilities, ...
R. Resistant, robust and non-parametric techniques for the analysis of climate data: Theory and examples, including applications to historical radiosonde station data. International Journal of Climatology 61 (1996). 63. Pohlert, T. trend: Non-Parametric Trend Tests and Change-Point Detection, ...