Created
February 26, 2020 13:42
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| odds_to_rr <-function (fit) | |
| { | |
| Estimates <- fixef(fit) | |
| param <-data.frame(Estimates) | |
| param$Parameter <- row.names(param) | |
| est <- param %>% select(Parameter, Estimates) | |
| rownames(est) <- NULL | |
| est[[2]] <- exp(est[[2]]) | |
| ci <- stats::confint(fit, method = "Wald", parm = "beta_") | |
| else ci <- stats::confint(fit) | |
| or.dat <- data.frame(est, exp(ci)) | |
| colnames(or.dat) <- c("Parameter", "OR", "CI_low", "CI_high") | |
| modfram <- insight::get_data(fit) | |
| outcome <- sjmisc::recode_to(sjlabelled::as_numeric(insight::get_response(fit))) | |
| P0 <- c() | |
| for (i in 1:nrow(est)) { | |
| P0 <- c(P0, .baseline_risk_for_predictor(modfram, outcome, | |
| est[[1]][i])) | |
| } | |
| rr.dat <- or.dat[, 2:4]/((1 - P0) + (P0 * or.dat[, 2:4])) | |
| rr.dat <- cbind(or.dat$Parameter, or.dat$OR, rr.dat) | |
| colnames(rr.dat) <- c("Parameter", "Odds Ratio", "Risk Ratio", | |
| "CI_low", "CI_high") | |
| rownames(rr.dat) <- NULL | |
| rr.dat | |
| } |
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