File: coxph.object.Rd

package info (click to toggle)
survival 2.37-7-1
  • links: PTS
  • area: main
  • in suites: jessie, jessie-kfreebsd
  • size: 6,684 kB
  • ctags: 364
  • sloc: asm: 6,453; ansic: 4,857; makefile: 2
file content (85 lines) | stat: -rw-r--r-- 2,639 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
\name{coxph.object}
\alias{coxph.object}
\alias{extractAIC.coxph.penal}
\alias{print.coxph}
\title{
  Proportional Hazards Regression Object 
}
\description{
This class of objects is returned by the \code{coxph} class of functions 
to represent a fitted proportional hazards model. 
Objects of this class have methods for the functions \code{print}, 
\code{summary}, \code{residuals}, \code{predict} and \code{survfit}. 
}
\section{Components}{
The following components must be included in a legitimate \code{coxph} 
object. 
}
\arguments{
\item{coefficients}{
  the vector of coefficients.
  If the model is over-determined there will be missing 
  values in the vector corresponding to the redundant columns in the model 
  matrix. 
}
\item{var}{
the variance matrix of the coefficients.  Rows and columns corresponding to 
any missing coefficients are set to zero. 
}
\item{naive.var}{
this component will be present only if the \code{robust} option was true.  If so, 
the \code{var} component will contain the robust estimate of variance, and this 
component will contain the ordinary estimate. 
}
\item{loglik}{
a vector of length 2 containing the log-likelihood with the initial values and 
with the final values of the coefficients. 
}
\item{score}{
value of the efficient score test, at the initial value of the coefficients. 
}
\item{rscore}{
the robust log-rank statistic, if a robust variance was requested. 
}
\item{wald.test}{
the Wald test of whether the final coefficients differ from the initial values. 
}
\item{iter}{
number of iterations used. 
}
\item{linear.predictors}{
  the vector of linear predictors, one per subject.  Note that this
  vector has been centered, see \code{predict.coxph} for more details.
}
\item{residuals}{
the martingale residuals. 
}
\item{means}{
vector of column means of the X matrix.  Subsequent survival curves are 
adjusted to this value. 
}
\item{n}{
the number of observations used in the fit. 
}
\item{nevent}{
the number of events (usually deaths) used in the fit. 
}
\item{weights}{
the vector of case weights, if one was used. 
}
\item{method}{
the computation method used. 
}
\item{na.action}{
the na.action attribute, if any, that was returned by the \code{na.action} 
routine. 

The object will also contain the following, for documentation see the \code{lm} 
object: \code{terms}, \code{assign}, \code{formula}, \code{call}, and, optionally, \code{x}, \code{y}, 
and/or \code{frame}. 
}
}
\seealso{
\code{\link{coxph}},  \code{\link{coxph.detail}},  \code{\link{cox.zph}},  \code{\link{residuals.coxph}},  \code{\link{survfit}},  \code{\link{survreg}}.   
}
\keyword{survival}