On Mar 5, 2009, at 10:08 AM, Kourosh Ks wrote:
dears,
I like two write a program with R to estimate the coefficients of
covariate,I like two know the original program for this programing
for partial maximum likelihood for cox models with two co variate.
I did it with coxph command,
> library(survival)
Loading required package: splines
> coxph
function (formula = formula(data), data = parent.frame(), weights,
subset, na.action, init, control, method = c("efron", "breslow",
"exact"), singular.ok = TRUE, robust = FALSE, model = FALSE,
x = FALSE, y = TRUE, ...)
{
method <- match.arg(method)
call <- match.call()
m <- match.call(expand.dots = FALSE)
temp <- c("", "formula", "data", "weights", "subset", "na.action")
m <- m[match(temp, names(m), nomatch = 0)]
special <- c("strata", "cluster")
Terms <- if (missing(data))
< Output that goes on for about 3.5 pages was truncated>
--
David Winsemius
thanks
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and provide commented, minimal, self-contained, reproducible code.
