Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: hazreg
See also: hazdat hazregll hazbeta

Macro: haztest
Description: calculates the value of the test statistic, the degree of freedom, and the P-value of the likelihood ratio, Wald's and scores tests for the Cox Proportional Hazard model, by Newton-Raphson method.

Usage: {val, df, pval} = haztest(data, index)
Input:
data n x (p+4) matrix, the first column is the sorted survival time t, followed by the sorted delta, inidcating if censoring has occured, labels l, a column containing the number of ties, and lastly, the sorted covariate matrix z.
index p x 1 vector, with ith element = 0 when beta_i = 0 is in the null hypothesis, and 1, otherwise.
Output:
val 3 x 1 vector, values of the test statistics.
df scalar, degree of freedom.
pval 3 x 1 vector, P-values of the tests.

Example:
library("hazreg") 
n = 20
p = 2
beta = 1|2                      ; regression parameter
z = 1 + uniform(n,p)            ; covariates
y = -log(1-uniform(n))          ; exponential survival
y = y./exp(z*beta)              ; covariate effects
c = 4*uniform(n)                ; uniform censoring
t = min(y~c,2)                  ; censored time             
delta = (y<=c)                  ; censoring indicator            
{data,ties} = hazdat(t,delta, z)   ; preparing data
index = 1|0                        ; testing if the second
; coefficient is zero
{val,df,pval} = haztest(data, index)  
; test results                              
Result:
The second parameter of beta is test to be zero or 
not by likelihood ratio, Wald's and scores tests. 

Library: hazreg
See also: hazdat hazregll hazbeta

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Author: Lijian Yang 990710
(C) MD*TECH Method and Data Technologies, 17.8.2000