# Calculate direct/indirect standardized ratios/rates from a fitted `logis_cre` object Provide direct/indirect standardized ratios/rates for a correlated random effect logistic model. ```r ## S3 method for class 'logis_cre' SM_output( fit, parm, stdz = "indirect", measure = c("rate", "ratio"), threads = 2, ... ) ``` ## Arguments - `fit`: a model fitted from `logis_cre`. - `parm`: specifies a subset of providers for which confidence intervals are to be given. By default, all providers are included. The class of `parm` should match the class of the provider IDs. - `stdz`: a character string or a vector specifying the standardization method(s). The possible values are: * `"indirect"` (default) indirect standardization method. * `"direct"` direct standardization method. * `c("indirect", "direct")` outputs both direct and indirect standardized measures. - `measure`: a character string or a vector indicating whether the output measure is "ratio" or "rate" * `"rate"` output the standardized rate. The "rate" has been restricted to 0% - 100%. * `"ratio"` output the standardized ratio. * `c("ratio", "rate")` (default) output both the ratio and rate. - `threads`: an integer specifying the number of threads to use. The default value is 2. - ``...``: additional arguments that can be passed to the function. ## Returns A list contains standardized measures, as well as the observed and expected outcomes used for calculation, depending on the user's choice of standardization method (`stdz`) and measure type (`measure`). - **indirect.ratio**: standardization ratio using indirect method if `stdz` includes `"indirect"` and `measure` includes `"ratio"`. - **direct.ratio**: standardization ratio using direct method if `stdz` includes `"direct"` and `measure` includes `"ratio"`. - **indirect.rate**: standardization rate using indirect method if `stdz` includes `"indirect"` and `measure` includes `"rate"`. - **direct.rate**: standardization rate using direct method if `stdz` includes `"direct"` and `measure` includes `"rate"`. - **OE**: a list of data frames containing the observed and expected outcomes used for calculating standardized measures. ## Examples ```r data(ExampleDataBinary) outcome <- ExampleDataBinary$Y covar <- ExampleDataBinary$Z ProvID <- ExampleDataBinary$ProvID data <- data.frame(outcome, ProvID, covar) outcome.char <- colnames(data)[1] ProvID.char <- colnames(data)[2] wb.char <- c("z1", "z2") other.char <- c("z3", "z4", "z5") fit_cre <- logis_cre(data = data, Y.char = outcome.char, ProvID.char = ProvID.char, wb.char = wb.char, other.char = other.char) SR <- SM_output(fit_cre, stdz = "direct", measure = "rate") SR$direct.rate ```

SM_output.logis_cre function