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#'Generic S3 methods to extract the z-statistic from a set of survival fit objects
#'
#'@title Extracting the z-statistic from a survival object
#'
#'@param fit an R object
#'@param ... extendible arguments to the S3 method
#'@return a numeric value, the z statistic for the independence test of the treatment arm
#'@author Simon Bond
#'@keywords internal
extract_z <- function(fit, ...) {
UseMethod("extract_z")
}
#' @describeIn extract_z Method for survdiff
#'@param fit a fitted survival object : survdiff, coxph, survreg
extract_z.survdiff <- function(fit, ...) {
if (is.matrix(fit$obs)) {
otmp <- apply(fit$obs, 1, sum)
etmp <- apply(fit$exp, 1, sum)
} else {
otmp <- fit$obs
etmp <- fit$exp
}
df <- (etmp > 0)
if (sum(df) < 2)
z <- 0 else {
temp2 <- ((otmp - etmp)[df])[-1]
vv <- (fit$var[df, df])[-1, -1, drop = FALSE]
# chi <- sum(solve(vv, temp2) * temp2)
z <- temp2/sqrt(vv)
}
z
}
#' @describeIn extract_z Method for coxph objects
#'@param arm a character vector giving the name of the covariate representing the treatment arm.
#'
extract_z.coxph <- function(fit, arm, ...) {
Z <- with(fit, coefficients/sqrt(diag(var)))
Z[arm]
}
#' @describeIn extract_z Method for survreg objects
extract_z.survreg <- function(fit, arm, ...) {
coef <- fit$coefficients
# var includes the scale parameters
var <- diag(fit$var)[1:length(coef)]
Z <- coef/sqrt(var)
Z[arm]
}
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