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Papers: 10.1186/s12874-018-0502-1

https://doi.org/10.1186/s12874-018-0502-1

joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes

Cited by: 42
Author(s): Graeme L. Hickey, Pete Philipson, Andrea Jorgensen, Ruwanthi Kolamunnage‐Dona
Published: about 7 years ago

Software Mentions 10

cran: frailtypack
Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
Papers that mentioned: 11
Very Likely Science (75)
cran: JM
Joint Modeling of Longitudinal and Survival Data
Papers that mentioned: 132
Very Likely Science (85)
cran: JMbayes
Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Papers that mentioned: 17
Very Likely Science (100)
cran: joineR
Joint Modelling of Repeated Measurements and Time-to-Event Data
Papers that mentioned: 6
Very Likely Science (100)
cran: joineRML
Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Papers that mentioned: 1
Very Likely Science (100)
cran: nlme
Linear and Nonlinear Mixed Effects Models
Papers that mentioned: 3,265
Very Likely Science (100)
cran: rstanarm
Bayesian Applied Regression Modeling via Stan
Papers that mentioned: 70
Very Likely Science (93)
cran: survival
Survival Analysis
Papers that mentioned: 1,690
Very Likely Science (100)
pypi: lme
Cotação London Metal Exchange
Papers that mentioned: 228
Very Likely Science (65)
pypi: survival
Add static script_dir() method to Path
Papers that mentioned: 1,690
Very Likely Science (90)