summary.crr: Summary method for crr

In cmprsk: Subdistribution Analysis of Competing Risks

Summary method for crr

Description

Generate and print summaries of crr output

Usage

## S3 method for class 'crr'
summary(object, conf.int = 0.95, digits =
max(options()$digits - 5, 2), ...)

## S3 method for class 'summary.crr'
print(x, digits = max(options()$digits - 4, 3), ...)

Arguments

object	An object of class crr (output from the crr function)
conf.int	the level for a two-sided confidence interval on the coeficients. Default is 0.95.
digits	In summary.crr, digits determines the number of significant digits retained in the p-values. In print.summary.crr, digits sets the values of the digits option for printing the output.
...	Included for compatibility with the generic functions. Not currently used.
x	An object of class summary.crr (output from the summary method for crr)

Details

The summary method calculates the standard errors, subdistribution hazard ratios z-scores, p-values, and confidence intervals on the hazard ratios. The print method prints a fairly standard format tabular summary of the results.

The pseudo likelihood ratio test in the printed output is based on the difference in the objective function at the global null and at the final estimates. Since this objective function is not a true likelihood, this test statistic is not asymptotically chi-square.

Value

summary.crr returns a list of class summary.crr, which contains components

call	The call to crr
converged	TRUE if the iterative algorithm converged
n	The number of observations used in fitting the model
n.missing	The number of observations removed by crr from the input data due to missing values
loglik	The value of the negative of the objective function (the pseudo log likelihood at convergence
coef	A matrix giving the estimated coefficients, hazard ratios, standard errors, z-scores, and p-values
conf.int	A matrix giving the estimated hazard ratios, inverse hazard ratios and lower and upper confidence limits on the hazard ratios
logtest	Twice the difference in log pseudo likelihood values

Author(s)

The summary and print.summary methods were provided by Luca Scrucca

See Also

crr

Examples

## see examples in the crr help file

cmprsk documentation built on May 29, 2024, 5:59 a.m.