Using the idea of "tipping point" (proposed in Gregory Campbell, Gene Pennello and Lilly Yue(2011) <DOI:10.1080/10543406.2011.550094>) to visualize the results of sensitivity analysis for missing data, the package provides a set of functions to list out all the possible combinations of missing values in two treatment arms, calculate corresponding estimated treatment effects and p values, and draw a colored heat-map. It could deal with randomized experiments with a binary outcome or a continuous outcome. In addition, the package provides a visualized method to compare various imputation methods by adding the rectangles or convex hulls on the basic plot.
Package details |
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Author | Shengjie Zhang <zhangshengjie@mrbc-nccd.com>, Xikun Han <hanxikun2017@gmail.com> and Victoria Liublinska <vliublin@g.harvard.edu> |
Maintainer | Xikun Han <hanxikun2017@gmail.com> |
License | GPL-2 |
Version | 1.2.0 |
URL | https://github.com/XikunHan/TippingPoint |
Package repository | View on CRAN |
Installation |
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