Nothing
textmeth <- function(x, random = FALSE, print.tau2 = FALSE, print.tau = FALSE,
text.tau2 = gs("text.tau2"), text.tau = gs("text.tau"),
digits.tau2 = gs("digits.tau2"),
digits.tau = gs("digits.tau"),
print.I2 = FALSE, text.I2 = gs("text.I2"),
big.mark = gs("big.mark"), forest = FALSE) {
text.details <- ""
#
if (print.tau2 & print.tau)
print.tau <- FALSE
#
if (forest) {
text.tau2 <- "tau^2"
text.tau <- "tau"
#
text.I2 <- "I^2"
}
#
if (inherits(x, c("netmeta", "netcomb"))) {
if (inherits(x, "netmetabin")) {
if (x$method == "MH") {
text.details <- "- Mantel-Haenszel method\n"
#
if (x$cc.pooled & x$incr != 0)
text.details <-
paste0(text.details,
paste("- Continuity correction of", x$incr),
"\n")
}
else if (x$method == "NCH")
text.details <-
"- Based on the non-central hypergeometric distribution"
else if (x$method == "LRP") {
text.details <- "- Penalised logistic regression model"
#
if (random)
text.details <-
paste0(text.details, " (sqrt(phi) = ", round(sqrt(x$phi), 4), ")",
"\n")
}
}
else if (inherits(x, "netmeta.crossnma")) {
text.details <- "- Bayesian network meta-analysis with crossnma\n"
}
else if (inherits(x, "netmeta.multinma")) {
text.details <- "- Bayesian network meta-analysis with multinma\n"
}
else {
text.details <- "- Frequentist graph-theoretical approach\n"
if (inherits(x, "netcomb"))
text.details <-
paste0(text.details, "- Component network meta-analysis\n")
#
if (random | print.tau2 | print.tau | print.I2) {
if (!is.null(x$tau.preset)) {
if (print.tau2) {
tau2 <- x$tau.preset^2
tau2 <- formatPT(tau2, lab = TRUE, labval = text.tau2,
digits = digits.tau2,
lab.NA = "NA", big.mark = big.mark)
#
text.details <-
paste0(text.details,
"- Preset between-study variance: ", tau2, "\n")
}
else if (print.tau) {
tau <- x$tau.preset
tau <- formatPT(tau, lab = TRUE, labval = text.tau,
digits = digits.tau,
lab.NA = "NA", big.mark = big.mark)
#
text.details <-
paste0(text.details,
"- Preset between-study standard deviation: ", tau, "\n")
}
}
else if (random | print.tau2 | print.tau) {
text.details <-
paste0(text.details,
if (x$method.tau == "DL")
"- DerSimonian-Laird estimator"
#
else if (x$method.tau == "REML")
"- Restricted maximum-likelihood estimator"
##
else if (x$method.tau == "ML")
"- Maximum-likelihood estimator")
#
text.details <-
paste0(text.details, " for ",
if (print.tau) text.tau else text.tau2, "\n")
}
}
#
if (print.I2) {
text.details <-
paste0(text.details, "- Calculation of ", text.I2, " based on Q\n")
}
}
#
if (!is.null(x$correlated) && any(x$correlated)) {
studies.c <- sort(unique(x$studlab[x$correlated]))
#
text.details <-
paste0(text.details,
"- ", if (length(studies.c) == 1) "Study" else "Studies",
" with correlated study arms: ",
paste0("'", studies.c, "'", collapse = ", "),
"\n")
}
}
else if (inherits(x, "netbind")) {
text.details <- ""
#
if ("Inverse" %in% x$method)
text.details <- paste0(text.details, "- Inverse variance method\n")
#
if ("MH" %in% x$method)
text.details <- paste0(text.details, "- Mantel-Haenszel method\n")
#
if ("NCH" %in% x$method)
text.details <-
paste0(text.details,
"- Based on the non-central hypergeometric distribution\n")
#
if ("LRP" %in% x$method)
text.details <-
paste0(text.details, "- Penalised logistic regression model\n")
}
else if (inherits(x, "netimpact")) {
text.details <- "- Frequentist graph-theoretical approach\n"
#
text.details <-
paste0(text.details,
if (x$method.tau == "DL")
"- DerSimonian-Laird estimator"
#
else if (x$method.tau == "REML")
"- Restricted maximum-likelihood estimator"
##
else if (x$method.tau == "ML")
"- Maximum-likelihood estimator")
#
text.details <-
paste0(text.details, " for ",
if (print.tau) text.tau else text.tau2, "\n")
#
if (print.I2) {
text.details <-
paste0(text.details, "- Calculation of ", text.I2, " based on Q\n")
}
}
else if (inherits(x, "rankogram")) {
if (x$small.values == "desirable")
text.details <-
paste0(text.details,
"- Small outcome values indicate a beneficial effect\n")
else if (x$small.values == "undesirable")
text.details <-
paste0(text.details,
"- Small outcome values indicate a harmful effect\n")
#
if (random && !is.null(x$x)) {
if (!is.null(x$x$tau.preset)) {
tau2 <- formatPT(x$x$tau.preset^2,
lab = TRUE, labval = text.tau2,
digits = digits.tau2,
lab.NA = "NA", big.mark = big.mark)
#
text.details <-
paste0(text.details,
"- Preset between-study variance: ", tau2, "\n")
}
else {
text.details <-
paste0(text.details,
if (x$x$method.tau == "DL")
"- DerSimonian-Laird estimator"
#
else if (x$x$method.tau == "REML")
"- Restricted maximum-likelihood estimator"
##
else if (x$x$method.tau == "ML")
"- Maximum-likelihood estimator")
#
text.details <-
paste0(text.details, " for ",
if (print.tau) text.tau else text.tau2, "\n")
}
}
}
else if (inherits(x, "subgroup.netmeta")) {
if (random) {
text.details <-
paste0(text.details,
if (x$method.tau == "DL")
"- DerSimonian-Laird estimator"
#
else if (x$method.tau == "REML")
"- Restricted maximum-likelihood estimator"
##
else if (x$method.tau == "ML")
"- Maximum-likelihood estimator")
#
text.details <-
paste0(text.details, " for ",
if (print.tau) text.tau else text.tau2, "\n")
}
}
#
if (text.details != "")
text.details <-
paste0("\nDetails of network meta-analysis methods:\n",
text.details)
#
text.details
}
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