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 the values of missing data in two treatment arms, calculate corresponding estimated treatment effects and p values and draw a colored heat-map to visualize them. 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.
|Author||Shengjie Zhang <email@example.com>, Xikun Han <firstname.lastname@example.org> and Victoria Liublinska <email@example.com>|
|Date of publication||2016-05-02 14:18:45|
|Maintainer||Xikun Han <firstname.lastname@example.org>|
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