PHReg.predict()

statsmodels.duration.hazard_regression.PHReg.predict

PHReg.predict(params, cov_params=None, endog=None, exog=None, strata=None, offset=None, pred_type='lhr') [source]

Returns predicted values from the proportional hazards regression model.

Parameters:

params : array-like

The proportional hazards model parameters.

cov_params : array-like

The covariance matrix of the estimated params vector, used to obtain prediction errors if pred_type=?lhr?, otherwise optional.

endog : array-like

Duration (time) values at which the predictions are made. Only used if pred_type is either ?cumhaz? or ?surv?. If using model exog, defaults to model endog (time), but may be provided explicitly to make predictions at alternative times.

exog : array-like

Data to use as exog in forming predictions. If not provided, the exog values from the model used to fit the data are used.

strata : array-like

A vector of stratum values used to form the predictions. Not used (may be ?None?) if pred_type is ?lhr? or ?hr?. If exog is None, the model stratum values are used. If exog is not None and pred_type is ?surv? or ?cumhaz?, stratum values must be provided (unless there is only one stratum).

offset : array-like

Offset values used to create the predicted values.

pred_type : string

If ?lhr?, returns log hazard ratios, if ?hr? returns hazard ratios, if ?surv? returns the survival function, if ?cumhaz? returns the cumulative hazard function.

Returns:

A bunch containing two fields: `predicted_values` and :

`standard_errors`. :

Notes

Standard errors are only returned when predicting the log hazard ratio (pred_type is ?lhr?).

Types surv and cumhaz require estimation of the cumulative hazard function.

doc_statsmodels
2017-01-18 16:13:39
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