Hello. I'm running a difference-in-difference model, and so have two groups. I'm using inverse probability weights (ipw) to increase balance amongst covariates. I have to create summary statistics and want to show better balance between the two groups after using ipw by showing that the difference between the two groups reduces and/or is not statistically significant after weighting. What tests can I run to show this?
Related Posts with Using inverse probability weights to increase balance among covariates
CI 95% generated by Meta set is slightly different than the CI generated by Metan codeI have been using STATA 14 for so long and I have run a lot of meta-analysis with no trouble. Recent…
reshape from wide to long with string variable defining new variables in long formatHello all, I am struggeling with reshaping my data from wide to long. I want to use a string variabl…
Stata 17 snapspan does not workAfter I upgraded to Stata 17, I experienced an error message when I ran snapspan syntax. I believe i…
precoin error 3301When I run precoin using the sample data of 100 obs, it works successfully. However , it doesn't wor…
multiple imputation (MICE) and varying estimation sample!Hello, I am building a regression model for ethnicity as a categorical exposure variable and death a…
Subscribe to:
Post Comments (Atom)
0 Response to Using inverse probability weights to increase balance among covariates
Post a Comment