sandwich_ci: Takes a model fit and returns a data frame with variable,...
In thomasgstewart/ahsqc: Functions Specific to AHSQC Operations

Description Usage Arguments Details Examples

Takes a model fit and returns a data frame with variable, estimate, CI, and N

1 2	sandwich_ci(fit, antilog = FALSE, data, vnames = "names", outcome = NULL, exposure = NULL)

`fit`	model object
`antilog`	boolean, set to 'FALSE' for log scale or 'TRUE' for antilog scale
`data`	dataframe or datatable
`vnames`	character, set to '"labels"' to use variable labels rather than variable names in the output
`outcome`	character, outcome variable name
`exposure`	character, exposure variable name

Returns a dataframe with variable, estimate, and CI information from model fit

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# Not run:
# sandwich_ci(mod_obj, antilog = T, data = df, vnames = "labels")
# sandwich_ci(mod_obj, antilog = T, data = df, vnames = "labels", outcome = "flg_cmp_postop_ssi", exposure = "initial_approach")

thomasgstewart/ahsqc documentation built on Jan. 24, 2021, 11:19 a.m.