Hi folks,
Wondering why tebalance summarize allows variance ratios to be shown, when the R "matchit" package refuses, with justification as:
The variance ratios are computed as the ratio of the variance of the treated group to that of the control group for each covariate. Variance ratios are not computed for binary covariates because they are a function of the prevalence in each group, which is captured in the mean difference and eCDF statistics.
See:
All of my variables are binary, therefore think there is no extra value add for reporting the variance ratios if I am already displaying the standardised differences before and after inverse probability weighting?
Any reassurance or other opinions gratefully received!
Kind regards,
Hannah
Wondering why tebalance summarize allows variance ratios to be shown, when the R "matchit" package refuses, with justification as:
The variance ratios are computed as the ratio of the variance of the treated group to that of the control group for each covariate. Variance ratios are not computed for binary covariates because they are a function of the prevalence in each group, which is captured in the mean difference and eCDF statistics.
See:
HTML Code:
https://cran.r-project.org/web/packages/MatchIt/vignettes/assessing-balance.html
All of my variables are binary, therefore think there is no extra value add for reporting the variance ratios if I am already displaying the standardised differences before and after inverse probability weighting?
Any reassurance or other opinions gratefully received!
Kind regards,
Hannah
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