PSMOptimalCalipers: PSMOptimalCalipers: Reproduces and Extends Simulations on...
In kkbrum/PSMOptimalCalipers: Reproduces and Extends Simulations on Optimal Caliper Width in Propensity-Score Matching
Description
This package reproduces and extends figure 2 from the 2011 paper
paper 'Optimal caliper widths for propensity-score matching when estimating differences
in means and differences in proportions in observational studies' by Peter C. Austin.
Figure 2 examines the MSE of the predicted risk differences when using 50 different
propensity-score caliper widths from 0.05 to 2.5. The simulations all have 25 percent
treated patients and 75 percent control patients. We will extend these simulations by
varying the percentage of treated patients.
kkbrum/PSMOptimalCalipers documentation built on Dec. 21, 2021, 6:45 a.m.
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Description
This package reproduces and extends figure 2 from the 2011 paper paper 'Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies' by Peter C. Austin. Figure 2 examines the MSE of the predicted risk differences when using 50 different propensity-score caliper widths from 0.05 to 2.5. The simulations all have 25 percent treated patients and 75 percent control patients. We will extend these simulations by varying the percentage of treated patients.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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