PHRegResults.predict()
statsmodels.duration.hazard_regression.PHRegResults.predict
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PHRegResults.predict(endog=None, exog=None, strata=None, offset=None, transform=True, pred_type='lhr')
[source] -
Returns predicted values from the proportional hazards regression model.
Parameters: params : array-like
The proportional hazards model parameters.
exog : array-like
Data to use as
exog
in forming predictions. If not provided, theexog
values from the model used to fit the data are used.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 modelendog
(time), but may be provided explicitly to make predictions at alternative times.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. Ifexog
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
andstandard_errors
.Notes
Standard errors are only returned when predicting the log hazard ratio (pred_type is ‘lhr’).
Types
surv
andcumhaz
require estimation of the cumulative hazard function.
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.duration.hazard_regression.PHRegResults.predict.html