summary.joint: Summarise a random effects joint model fit

In joineR: Joint Modelling of Repeated Measurements and Time-to-Event Data

Summarise a random effects joint model fit

Description

Generic function used to produce summary information from a fitted random effects joint model as represented by object of class joint.

Usage

## S3 method for class 'joint'
summary(object, variance = TRUE, ...)

Arguments

object	an object of class joint.
variance	should the variance components be output as variances or standard deviations? Defaults to variance = TRUE.
...	further arguments for the summary.

Value

An object inheriting from class summary.joint with all components included in object (see joint for a full description of the components) plus the following components:

nobs	the total number of (typically longitudinal) observations (i.e. rows in an unbalanced data set).
ngrps	the number of groups in the analyzed dataset, often individual subjects.

Author(s)

Pete Philipson

Examples

data(heart.valve)
heart.surv <- UniqueVariables(heart.valve,
                              var.col = c("fuyrs","status"),
                              id.col = "num")
heart.long <- heart.valve[, c("num", "time", "log.lvmi")]
heart.cov <- UniqueVariables(heart.valve,
                             c("age", "hs", "sex"),
                             id.col = "num")
heart.valve.jd <- jointdata(longitudinal = heart.long,
                            baseline = heart.cov,
                            survival = heart.surv,
                            id.col = "num",
                            time.col = "time")
fit <- joint(data = heart.valve.jd,
             long.formula = log.lvmi ~ 1 + time + hs,
             surv.formula = Surv(fuyrs,status) ~ hs,
             model = "intslope")
summary(fit)

joineR documentation built on Jan. 23, 2023, 5:39 p.m.