A dataset containing simulation results to analyze the risk differences obtained using different caliper widths in propensity score matching, with a treated proportion of 0.25.
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A list with 5 elements, where each element contains the results for simulations based on a different covariate distribution:
All 10 covariates generated are independent standard normals
10 covariates generated are standard normals with pairwise correlation 0.25
5 covariates are independent Bernouillis with success probability 0.5 and the other 5 covariates are independent standard normals
9 covariates are independent Bernouillis with success probability 0.5 and the other covariate is a standard normal
All 10 covariates generated are independent Bernouillis with success probability 0.5
Each of these elements is a list with one component, containing the simulation results for a true risk difference of -0.05:
A matrix with 25 columns where each column is for a new caliper width and 7 rows:
The caliper width in terms of number of standard deviations of the logit propensity score
Mean squared error of the calculated risk differences across 500 data sets
The percentage the propensity score estimate reduced bias over the crude full data estimate
The crude average risk difference estimated across the 500 data sets
The average risk difference estimated across the 500 data sets comparing the matched groups
The average time to generate data, conduct matching, and calculate risk difference for one data set
The variance across the 500 data sets of the time to generate data, conduct matching, and calculate risk difference for one data set
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