Dear R-users,
I'd like to announce the release of version 1.0-0 of package JM (already
available from CRAN) for the joint modeling of longitudinal and
time-to-event data using shared parameter models. These models are
applicable in mainly two settings. First, when focus is in the survival
outcome and we wish to account for the effect of an endogenous (aka
internal) time-dependent covariate measured with error. Second, when
focus is in the longitudinal outcome and we wish to correct for
nonrandom dropout.
Some basic features of JM:
* it fits joint models for continuous longitudinal responses and allows
for several options for the survival submodel, including PH models with
Weibull, piecewise-constant, spline-approximated and unspecified
baseline hazard functions. The most complete option is the PH model with
the spline-approximated baseline hazard, which also allows for the
inclusion of stratification factors, competing risks and (exogenous)
time-varying covariates;
* it allows for several formulations of the association structure
between the longitudinal and survival outcomes;
* it computes dynamic individualized predictions for the survival and
longitudinal outcomes, which are updated as extra longitudinal
information is recorded;
* it computes time-dependent sensitivity and specificity, and the
corresponding ROCs and AUCs with several options for the prediction rule;
* several types of residuals are supported for both outcomes;
* fast fitting of these models is facilitated with a pseudo-adaptive
Gaussian-Hermite rule.
The theory and application of this type of models along with a
comprehensive overview of the capabilities of the package can be found
in the recently published book "Joint Models for Longitudinal and
Time-to-Event Data, with Applications in R" by Chapman and Hall/CRC
(http://www.crcpress.com/product/isbn/9781439872864). The code used in
the book and additional material are available in the R-forge web site:
http://jmr.r-forge.r-project.org/
Additional information can be found in the corresponding help files, and
examples at the R wiki web page devoted to JM:
http://rwiki.sciviews.org/doku.php?id=packages:cran:jm
As always, any kind of feedback (e.g., questions, suggestions,
bug-reports, etc.) is more than welcome.
Best,
Dimitris
--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center
Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014
Web: http://www.erasmusmc.nl/biostatistiek/
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