statsmodels.duration.hazard_regression.PHReg.robust_covariance

PHReg.robust_covariance(params)[source]

Returns a covariance matrix for the proportional hazards model regresion coefficient estimates that is robust to certain forms of model misspecification.

Parameters:
paramsndarray

The parameter vector at which the covariance matrix is calculated.

Returns:
The robust covariance matrix as a square ndarray.

Notes

This function uses the groups argument to determine groups within which observations may be dependent. The covariance matrix is calculated using the Huber-White “sandwich” approach.


Last update: Apr 12, 2024