vdracox: Vertical Distributed Cox Regression Results Object
In vdra: Vertical Distributed Regression Analysis

Description Arguments See Also

This class of object is returned by the two party, three party, and K-party distributed regression analysis programs when "cox" regression is specified. Objects of this class have methods for the functions print and summary.

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

`failed`	logical value. If `FALSE`, then there was an error processing the data. if `TRUE`, there were no errors.
`converged`	logical value. If `TRUE`, the regression converged. If `FALSE`, it did not.
`party`	a vector which indicates the party from which each covariate came.
`coefficients`	the vector of coefficients. If the model is over-determined, there will be `NA` values in the vector corresponding to the redudant columns model matrix.
`expcoef`	a vector which represents exp(coefficients).
`expncoef`	a vector which represents exp(-coefficients).
`var`	the variance matrix of the coefficients. Rows and columns corresponding to any missing coefficients are set to zero.
`secoef`	the vector of the standard error of the coefficients.
`zvals`	the z-values of the coefficients.
`pvals`	the p-values of the coefficients.
`lower95`	a vector of the lower bounds of the 95% confidence interval for exp(coefficients).
`upper95`	a vector of the upper bounds of the 95% confidence interval for exp(coefficients).
`loglik`	a vector holding the loglikelihood and null loglikelihood.
`n`	the number of observations in the data.
`nevent`	the number of events used in the fit.
`iter`	the number of iterations of the cox algorithm before convergence.
`df`	the degrees of freedom.
`score`	a vector contining the score test statistic and its p-value.
`method`	"efron". The method used for the cox algorithm.
`lrt`	a vector contaiing the likelihood ratio test statistic and its p-value.
`rsquare`	a vector containing an r-square value for the fit and its p-value.
`wald.test`	a vector containg the Wald test statistic and its p-value.
`concordance`	a vector containing the number of events which are concordant, discordant, tied.risk, tied.time. Also contains the concordance statistic and its standard error. Calculated using the `survival` package, if installed. If not installed, all values are `NA`.
`survival`	a matrix of values used to compute the surivival curve.
`strata`	a data.frame of the strata used in the computation.