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...
前面我写了多重填补的统计学考虑与SAS实现这篇文章,里面提了一嘴MI的tipping point analysis。小伙伴们在后台私信留言说写一下tipping point analysis。今天它来了。 MNAR缺失模式 我们提到,对于MI的sensitivity analysis,常见的分析就是做tipping point analysis,它主要就是评估在MNAR(missing not at random)缺失模式...
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。 tipping point analysis (t...
Livina, E. Barton, A. Forbes, "Tipping point analysis of the NPL footbridge", Journal of Civil Structural Health Monitoring, 2013.Livina, V, E Barton, and A Forbes, Tipping point analysis of the NPL footbridge, Journal of Civil Structural 390 Health Monitoring 4 (2014): 91-98....
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The tipping point analysis has been a useful sensitivity analysis for multiple imputation to assess the robustness of the deviations from the MCAR or MAR assumptions. It aims to find out how severe departures from MAR will overturn the conclusions from primary analysis. If the departures are consid...
Tipping point analysis is an established methodology in environmental sciences, and due to its general approach in studying dynamical systems of arbitrary origin, it can be applied to sensor data as well, which is demonstrated in the present study. Two time series techniques are applied, degenerate...
bayesian framework. specifically, we develop a tipping point analysis of the between-arm correlation parameter to assess the robustness of meta-analysis results. additionally, we introduce some visualization tools to intuitively display its impact on meta-analysis results. we demonstrate the application ...
We apply tipping point analysis to nine observational oxygen concentration records around the globe, analyse their dynamics and perform projections under possible future scenarios, leading to oxygen deficiency in the atmosphere. The analysis is based on statistical physics framework with stochastic modelling...
Specifically, we develop a tipping point analysis of the between-arm correlation parameter to assess the robustness of meta-analysis results. Additionally, we introduce some visualization tools to intuitively display its impact on meta-analysis results. We demonstrate the application of these tools in ...