# wald

##### Wald-Test for Model Coefficients

Obtain Wald chi-squared test statistics and p-values for one or more regression coefficients given their variance-covariance matrix.

- Keywords
- survival

##### Usage

`wald(coeff, cov, index = NULL, h0 = NULL)`

##### Arguments

- coeff
a vector with regression coefficients.

- cov
a variance-covariance matrix.

- index
an integer specifiying which parameters should be jointly tested. Default is to test all parameters given in

`coeff`

and`cov`

.- h0
a vector with the same length as

`coeff`

stating the null hypothese for the test. Default is 0 for all coefficients.

##### Details

The test is based on the assumption that the coefficients asymptotically follow
a (multivariate) normal distribution with mean `coeff`

and a variance-covariance
matrix `cov`

.

##### Value

A vector with the follwing components:

the Wald-test statistic.

degress of freedom.

p-value.

##### See Also

*Documentation reproduced from package coxphw, version 4.0.1, License: GPL-2*