class statsmodels.duration.hazard_regression.PHRegResults(model, params, cov_params, scale=1.0, covariance_type='naive')
[source]
Class to contain results of fitting a Cox proportional hazards survival model.
PHregResults inherits from statsmodels.LikelihoodModelResults
Parameters: | statsmodels.LikelihoodModelResults (See) – |
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Returns: |
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See also
statsmodels.LikelihoodModelResults
baseline_cumulative_hazard () | A list (corresponding to the strata) containing the baseline cumulative hazard function evaluated at the event points. |
baseline_cumulative_hazard_function () | A list (corresponding to the strata) containing function objects that calculate the cumulative hazard function. |
bse () | Returns the standard errors of the parameter estimates. |
conf_int ([alpha, cols, method]) | Returns the confidence interval of the fitted parameters. |
cov_params ([r_matrix, column, scale, cov_p, …]) | Returns the variance/covariance matrix. |
f_test (r_matrix[, cov_p, scale, invcov]) | Compute the F-test for a joint linear hypothesis. |
get_distribution () | Returns a scipy distribution object corresponding to the distribution of uncensored endog (duration) values for each case. |
initialize (model, params, **kwd) | |
llf () | |
load (fname) | load a pickle, (class method) |
martingale_residuals () | The martingale residuals. |
normalized_cov_params () | |
predict ([endog, exog, strata, offset, …]) | Returns predicted values from the proportional hazards regression model. |
pvalues () | |
remove_data () | remove data arrays, all nobs arrays from result and model |
save (fname[, remove_data]) | save a pickle of this instance |
schoenfeld_residuals () | A matrix containing the Schoenfeld residuals. |
score_residuals () | A matrix containing the score residuals. |
standard_errors () | Returns the standard errors of the parameter estimates. |
summary ([yname, xname, title, alpha]) | Summarize the proportional hazards regression results. |
t_test (r_matrix[, cov_p, scale, use_t]) | Compute a t-test for a each linear hypothesis of the form Rb = q |
t_test_pairwise (term_name[, method, alpha, …]) | perform pairwise t_test with multiple testing corrected p-values |
tvalues () | Return the t-statistic for a given parameter estimate. |
wald_test (r_matrix[, cov_p, scale, invcov, …]) | Compute a Wald-test for a joint linear hypothesis. |
wald_test_terms ([skip_single, …]) | Compute a sequence of Wald tests for terms over multiple columns |
weighted_covariate_averages () | The average covariate values within the at-risk set at each event time point, weighted by hazard. |
use_t |
© 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.html