cvmf_object {modeLLtest}

Cross-Validated Median Fit (CVMF) Object

Description

This class of objects is returned by the cvmf function to test between the partial likelihood maximization (PLM) and the iteratively reweighted robust (IRR) method of estimation for a given application of the Cox model.

Value

The following components must be included in a legitimate cvmf object.

best

name of the model of estimation favored by the cvmf test.

p

p-value of the binomial test used to test between estimation models.

cvmf

full output of the binomial test used to test between estimation methods. See documentation for binom.test for more information.

coef_names

names of the coefficients.

irr

full output for the iteratively reweighted robust (IRR) method of estimating the Cox model. See documentation for coxr in the package coxrobust for more information.

plm

full output for the partial likelihood maximization (PLM) method of estimating the Cox model. See documentation for coxph in the package survival for more information.

irr_coefs

estimates obtained from IRR method of estimating the Cox model. See documentation for coxr in the package coxrobust for more information.

plm_coefs

estimates obtained from PLM method of estimating the Cox model. See documentation for coxph in the package survival for more information.

cvpl_irr

observation-wise contributions to the log-partial likelihood for IRR method of estimating the Cox model. See Desmarais and Hardin (Political Analysis 20:113-135, 2012) for more about the test and Verweij and Houwelingen (Statistics in Medicine 12(24): 2305–14, 1993) for more about the measure

cvpl_plm

observation-wise contributions to the log-partial likelihood for PLM method of estimating the Cox model. See Desmarais and Hardin (Political Analysis 20:113-135, 2012) for more about the test and Verweij and Houwelingen (Statistics in Medicine 12(24): 2305–14, 1993) for more about the measure

The object also contain the following: call, x, and y.

See Also

cvmf