summary.marCoxph: Summary Method for marCoxph Objects

In PSsurvival: Propensity Score Methods for Survival Analysis

Summary Method for marCoxph Objects

Description

Summary Method for marCoxph Objects

Usage

## S3 method for class 'marCoxph'
summary(object, conf_level = 0.95, round.digits = 4, style = "prints", ...)

Arguments

object	A marCoxph object.
conf_level	Confidence level for intervals. Default 0.95.
round.digits	Number of digits for rounding displayed values. Default 4. Only used if style = "prints".
style	Output style: "prints" (print formatted tables) or "returns" (return vectors). Default "prints".
...	Additional arguments (ignored).

Details

Confidence intervals are Wald-type intervals calculated as:

• Log scale: logHR ± z_crit * SE

• Original scale: exp(logHR ± z_crit * SE)

The SE used depends on variance_method from the original marCoxph call:

• "robust": Uses logHR_se_robust from sandwich estimator.

• "bootstrap-full" or "bootstrap-strata": Uses logHR_se_bootstrap.

Value

If style = "prints", returns invisibly. If style = "returns", returns a list with:

logHR	Named vector of log hazard ratio estimates.
logHR_CI_lower	Named vector of lower CI bounds on log scale.
logHR_CI_upper	Named vector of upper CI bounds on log scale.
SE	Named vector of standard errors on log scale (from variance_method).
HR	Named vector of hazard ratio estimates (original scale).
HR_CI_lower	Named vector of lower CI bounds on original scale.
HR_CI_upper	Named vector of upper CI bounds on original scale.
variance_method	Variance method used.
conf_level	Confidence level used.
n_per_group	Named vector of sample sizes per group in Cox model.
events_per_group	Named vector of event counts per group in Cox model.

PSsurvival documentation built on Dec. 9, 2025, 9:07 a.m.