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- We introduce a “Window of Tipping Point Analysis” as an adaptive framework that allows for complexity reduction for an examination at hand, while preserving the consideration of complexity through the combination of different windows.
onlinelibrary.wiley.com/doi/full/10.1111/nrm.12357To tip or not to tip: The Window of Tipping Point Analysis ...
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What is a tipping point analysis?
What is a window of tipping point analysis?
Are tipping point analyses a sensitivity analysis in clinical trials?
What is a tipping point analysis under Mnar?
We introduce a “Window of Tipping Point Analysis” as an adaptive framework that allows for complexity reduction for an examination at hand, while preserving the consideration of complexity through the combination of different windows.
Tipping point analysis is a popular sensitivity analysis under MNAR by finding the “point(s)” where the p-value is tipped to be insignificant under varying assumptions for the missing outcomes for the different treatment groups independently.
Determination of equivalence margin involves literature research, meta-analysis and regulatory discussion. Success is usually defined as 95% (90%) confidence interval (CI) of the difference or ratio being within the pre-defined margin. Missing data in the primary endpoint is avoidable but critical.
Sep 4, 2022 · We introduce six steps to define a “Window of Tipping Point Analysis” which serves as a framework to increase the understanding of processes and tipping points in social‐ecological...
The purpose behind a tipping point analysis (TPA) is to find the point (“tipping point”) at which the objectives of an underlying analysis are no longer met. TPAs have gained popularity in recent years as a tool to assess sensitivity to assumptions about missing data without additional modeling for a variety of analysis types.
Two tipping point analyses were conducted: traditional (Figure 1); novel (Figure 2). The penalty applied was between 0 and 3: 0 corresponds to imputation under the MAR assumption; 3 corresponds to almost certain probability of imputing a missing value as a non-responder.
Aug 14, 2023 · The R package tipmap implements a tipping point analysis for clinical trials that employ Bayesian dynamic borrowing of a treatment effect from external evidence via robust meta-analytic predictive (MAP) priors. A tipping point analysis allows to assess how much weight on the informative component of a robust MAP prior is needed to conclude that ...
