# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "BJM" in publications use:'
type: software
license: MIT
title: 'BJM: Backward Joint Model for the Dynamic Prediction of Both Time-to-Event
  and Longitudinal Outcomes'
version: 0.3.0
doi: 10.1007/s10985-026-09725-x
identifiers:
- type: doi
  value: 10.32614/CRAN.package.BJM
abstract: Provides tools to fit joint models of multivariate longitudinal data and
  time-to-event data for dynamic prediction. It allows the joint prediction of both
  future time-to-event outcomes and future longitudinal outcomes conditional on survival.
  The models accommodate irregularly measured longitudinal data and competing risks
  outcomes. The use of the backward joint model enables fast and efficient computation,
  especially for applications with large sample sizes and many longitudinal variables.
  Methods without competing risks are described in Shen and Li (2021) <https://doi.org/10.1002/sim.9037>,
  and their extension to competing risks is described in Li et al. (2026) <https://doi.org/10.1007/s10985-026-09725-x>.
authors:
- family-names: Li
  given-names: Wenhao
  email: wenhaoli.jlu@gmail.com
- family-names: Li
  given-names: Liang
  email: LLi15@mdanderson.org
preferred-citation:
  type: article
  title: 'Backward joint model for the joint dynamic prediction of time-to-event and
    longitudinal data: basic formulation and new developments'
  authors:
  - family-names: Li
    given-names: Wenhao
    email: wenhaoli.jlu@gmail.com
  - family-names: Wang
    given-names: Shikun
  - family-names: Yin
    given-names: Zhe
  - family-names: Astor
    given-names: Brad C.
  - family-names: Yang
    given-names: Wei
  - family-names: Greene
    given-names: Tom H.
  - family-names: Li
    given-names: Liang
    email: LLi15@mdanderson.org
  journal: Lifetime Data Analysis
  year: '2026'
  volume: '32'
  issue: '3'
  doi: 10.1007/s10985-026-09725-x
  start: '46'
repository: https://wenhaoli18.r-universe.dev
repository-code: https://github.com/wenhaoli18/BJM
commit: cd6eff51ac3d0e840b4afa40bd2229fea5f03385
url: https://wenhaoli18.github.io/BJM/
date-released: '2026-10-17'
contact:
- family-names: Li
  given-names: Wenhao
  email: wenhaoli.jlu@gmail.com
references:
- type: article
  title: Backward joint model and dynamic prediction of survival with multivariate
    longitudinal data
  authors:
  - family-names: Shen
    given-names: Fan
  - family-names: Li
    given-names: Liang
  journal: Statistics in Medicine
  year: '2021'
  volume: '40'
  issue: '20'
  doi: 10.1002/sim.9037
  start: '4395'
  end: '4409'