jmrmlB: Joint model for Bidirectional survival data using 'joineRML'

In JMbdirect: Joint Model for Longitudinal and Multiple Time to Events Data

Joint model for Bidirectional survival data using joineRML

Description

The function fits joint model for survival data with two events. It utilizes the joineRML package for obtaining the model parameter estimates.

Usage

jmrmlB(
  dtlong,
  dtsurv,
  longm,
  survm,
  rd,
  timeVar,
  id,
  samplesize = 200,
  BIGdata = FALSE
)

Arguments

dtlong	longitudinal data
dtsurv	survival data with two event status along with event time
longm	longitudinal model e.g. list(serBilir~drug * year,serBilir ~ drug * year)
survm	survival model e.g. list(Surv(years,status2)~drug,Surv(time_2,status_2)~drug+age)
rd	random effect component e.g. list(~year|id,~year|id)
timeVar	time variable
id	ID variable
samplesize	samplesize for bigdata
BIGdata	logical argument TRUE or FALSE

Value

Estimated model parameters of Joint model with bidirectional survival data

Author(s)

Atanu Bhattacharjee, Bhrigu Kumar Rajbongshi and Gajendra Kumar Vishwakarma

References

Hickey, Graeme L., et al. "joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes." BMC medical research methodology 18 (2018): 1-14.

Bhattacharjee, A., Rajbongshi, B. K., & Vishwakarma, G. K. (2024). jmBIG: enhancing dynamic risk prediction and personalized medicine through joint modeling of longitudinal and survival data in big routinely collected data. BMC Medical Research Methodology, 24(1), 172.

Examples

 
##
library(JMbayes2)
library(joineRML)
jmrmlBModel<-jmrmlB(dtlong=new_long2[new_long2$id%in%c(1:80),],
                    dtsurv=new_surv2[new_surv2$id%in%c(1:80),],
                    longm=list(y~x7+visit,y~x7+visit),survm=list(Surv(time,status)~x1+visit,
                    Surv(time_2,status_2)~x1+visit),rd=list(~visit|id,~visit|id),id='id',
                    timeVar='visit',samplesize=40,BIGdata=TRUE)
jmrmlBModel
##

JMbdirect documentation built on April 12, 2025, 1:55 a.m.