Nothing
print.meta.dt <- function(x, digits = 3, ...){
if(!inherits(x, "meta.dt")){
stop("The input must be an object of \"meta.dt\".")
}
cat(paste0("The meta-analysis contains ", dim(x$data)[1], " studies\n"))
alpha <- x$alpha
cat(paste0("Significance level: ", alpha, "\n"))
if(x$method == "s.roc"){
cat("The summary ROC approach is used\n")
cat("Unweighted regression:\n")
inter <- x$inter.unwtd
inter.se <- sqrt(x$vcov.unwtd[1,1])
inter.ci <- c(inter - qnorm(1 - alpha/2)*inter.se, inter + qnorm(1 - alpha/2)*inter.se)
inter <- format(round(inter, digits), nsmall = digits)
inter.se <- format(round(inter.se, digits), nsmall = digits)
inter.ci <- format(round(inter.ci, digits), nsmall = digits)
inter.ci <- gsub(" ", "", inter.ci)
slope <- x$slope.unwtd
slope.se <- sqrt(x$vcov.unwtd[2,2])
slope.ci <- c(slope - qnorm(1 - alpha/2)*slope.se, slope + qnorm(1 - alpha/2)*slope.se)
slope <- format(round(slope, digits), nsmall = digits)
slope.se <- format(round(slope.se, digits), nsmall = digits)
slope.ci <- format(round(slope.ci, digits), nsmall = digits)
slope.ci <- gsub(" ", "", slope.ci)
DOR.meanS <- x$DOR.meanS.unwtd
DOR.meanS.ci <- x$DOR.meanS.unwtd.ci
DOR.meanS <- format(round(DOR.meanS, digits), nsmall = digits)
DOR.meanS.ci <- format(round(DOR.meanS.ci, digits), nsmall = digits)
DOR.meanS.ci <- gsub(" ", "", DOR.meanS.ci)
Q <- x$Q.unwtd
Q.ci <- x$Q.unwtd.ci
Q <- format(round(Q, digits), nsmall = digits)
Q.ci <- format(round(Q.ci, digits), nsmall = digits)
Q.ci <- gsub(" ", "", Q.ci)
AUC <- x$AUC.unwtd
AUC <- format(round(AUC, digits), nsmall = digits)
cat(paste0(" intercept = ", inter, " (SE, ", inter.se, "; CI, ", inter.ci[1], " to ", inter.ci[2], ")\n"))
cat(paste0(" slope = ", slope, " (SE, ", slope.se, "; CI, ", slope.ci[1], " to ", slope.ci[2], ")\n"))
cat(paste0(" DOR = ", DOR.meanS, " (CI, ", DOR.meanS.ci[1], " to ", DOR.meanS.ci[2], ")\n"))
cat(paste0(" Q point = ", Q, " (CI, ", Q.ci[1], " to ", Q.ci[2], ")\n"))
cat(paste0(" AUC = ", AUC, "\n"))
cat("Weighted regression:\n")
inter <- x$inter.wtd
inter.se <- sqrt(x$vcov.wtd[1,1])
inter.ci <- c(inter - qnorm(1 - alpha/2)*inter.se, inter + qnorm(1 - alpha/2)*inter.se)
inter <- format(round(inter, digits), nsmall = digits)
inter.se <- format(round(inter.se, digits), nsmall = digits)
inter.ci <- format(round(inter.ci, digits), nsmall = digits)
inter.ci <- gsub(" ", "", inter.ci)
slope <- x$slope.wtd
slope.se <- sqrt(x$vcov.wtd[2,2])
slope.ci <- c(slope - qnorm(1 - alpha/2)*slope.se, slope + qnorm(1 - alpha/2)*slope.se)
slope <- format(round(slope, digits), nsmall = digits)
slope.se <- format(round(slope.se, digits), nsmall = digits)
slope.ci <- format(round(slope.ci, digits), nsmall = digits)
slope.ci <- gsub(" ", "", slope.ci)
DOR.meanS <- x$DOR.meanS.wtd
DOR.meanS.ci <- x$DOR.meanS.wtd.ci
DOR.meanS <- format(round(DOR.meanS, digits), nsmall = digits)
DOR.meanS.ci <- format(round(DOR.meanS.ci, digits), nsmall = digits)
DOR.meanS.ci <- gsub(" ", "", DOR.meanS.ci)
Q <- x$Q.wtd
Q.ci <- x$Q.wtd.ci
Q <- format(round(Q, digits), nsmall = digits)
Q.ci <- format(round(Q.ci, digits), nsmall = digits)
Q.ci <- gsub(" ", "", Q.ci)
AUC <- x$AUC.wtd
AUC <- format(round(AUC, digits), nsmall = digits)
cat(paste0(" intercept = ", inter, " (SE, ", inter.se, "; CI, ", inter.ci[1], " to ", inter.ci[2], ")\n"))
cat(paste0(" slope = ", slope, " (SE, ", slope.se, "; CI, ", slope.ci[1], " to ", slope.ci[2], ")\n"))
cat(paste0(" DOR = ", DOR.meanS, " (CI, ", DOR.meanS.ci[1], " to ", DOR.meanS.ci[2], ")\n"))
cat(paste0(" Q point = ", Q, " (CI, ", Q.ci[1], " to ", Q.ci[2], ")\n"))
cat(paste0(" AUC = ", AUC, "\n"))
}
if(is.element(x$method, c("biv.lmm", "biv.glmm"))){
if(x$method == "biv.lmm"){
cat("The bivariate linear mixed model is used\n")
}
if(x$method == "biv.glmm"){
cat("The bivariate generalized linear mixed model is used\n")
}
sens.overall <- x$sens.overall
sens.overall.ci <- x$sens.overall.ci
sens.overall <- format(round(sens.overall, digits), nsmall = digits)
sens.overall.ci <- format(round(sens.overall.ci, digits), nsmall = digits)
sens.overall.ci <- gsub(" ", "", sens.overall.ci)
spec.overall <- x$spec.overall
spec.overall.ci <- x$spec.overall.ci
spec.overall <- format(round(spec.overall, digits), nsmall = digits)
spec.overall.ci <- format(round(spec.overall.ci, digits), nsmall = digits)
spec.overall.ci <- gsub(" ", "", spec.overall.ci)
DOR.overall <- x$DOR.overall
DOR.overall.ci <- x$DOR.overall.ci
DOR.overall <- format(round(DOR.overall, digits), nsmall = digits)
DOR.overall.ci <- format(round(DOR.overall.ci, digits), nsmall = digits)
DOR.overall.ci <- gsub(" ", "", DOR.overall.ci)
AUC <- x$AUC
AUC <- format(round(AUC, digits), nsmall = digits)
mu.sens <- x$mu.sens
mu.spec <- x$mu.spec
sig.sens <- x$sig.sens
sig.spec <- x$sig.spec
rho <- x$rho
mu.sens <- format(round(mu.sens, digits), nsmall = digits)
mu.spec <- format(round(mu.spec, digits), nsmall = digits)
sig.sens <- format(round(sig.sens, digits), nsmall = digits)
sig.spec <- format(round(sig.spec, digits), nsmall = digits)
rho <- format(round(rho, digits), nsmall = digits)
cat(paste0(" Overall sensitivity = ", sens.overall, " (CI, ", sens.overall.ci[1], " to ", sens.overall.ci[2], ")\n"))
cat(paste0(" Overall specificity = ", spec.overall, " (CI, ", spec.overall.ci[1], " to ", spec.overall.ci[2], ")\n"))
cat(paste0(" Overall DOR = ", DOR.overall, " (CI, ", DOR.overall.ci[1], " to ", DOR.overall.ci[2], ")\n"))
cat(paste0(" AUC = ", AUC, "\n"))
cat(" Estimates of model parameters:\n")
cat(paste0(" mu = ", mu.sens, ", sigma = ", sig.sens, " (sensitivity)\n"))
cat(paste0(" mu = ", mu.spec, ", sigma = ", sig.spec, " (specificity)\n"))
cat(paste0(" rho = ", rho, " (correlation coefficient)\n"))
}
}
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