CODEWITHSUNDEEP
rmatchinggtsummary
emmalila
emmalila

Reputation: 1

Does it make sense to use survey::svydesign and tbl_svysummary after full matching to account for matching weights?

I do full matching with the MatchIt package in R, which gives me the weights for each observation in the matched dataset. I then want to present a summary table of the outcomes for the treatment and the control group.

I cannot use the normal tbl_summary from the gtsummary package by Sjoberg as it does not account for matching weights. So, I thought I might use tbl_svysummary (survey package) because it would allow me to account for matching weights.

Thus, my code would look like:

Extract<-matched_data %>% select(outcome, Treatment, weights)

survey::svydesign(~1, data = as.data.frame(Extract), weights = ~weights) %>% tbl_svysummary(by=Treatment,digits = list(all_categorical() ~ c(0, 2))) %>% add_p()

My question: Does that make sense? Or how can I present a summary table after full matching that allows me to account for the matching weights?

Thank you for any advice!

Upvotes: 0

Views: 367

Answers (1)

Claude Yuri
Claude Yuri

Reputation: 1

You can go about it that way, however, I work with survey data regularly and in my experience its easier to use the survey::svymean() or survey::svyby() functions when I want to present summary tables.

So for example using svyby:

svyby(~ Treatment, ~ outcome, design = YOURDESIGN, svymean)

Please refer to the documentation https://www.rdocumentation.org/packages/survey/versions/4.1-1/topics/svyby

The book 'complex surveys' by Lumley is also a great resource to read and learn more about survey designs and also summarising your results in easy ways.

Upvotes: 0

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