English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The R package merlin performs flexible joint modelling of hierarchicalmulti-outcome data. Increasingly, multiple longitudinal biomarker measurements,possibly censored time-to-event outcomes and baseline characteristics areavailable. However, there is limited software that allows all of thisinformation to be incorporated into one model. In this paper, we present merlinwhich allows for the estimation of models with unlimited numbers of continuous,binary, count and time-to-event outcomes, with unlimited levels of nestedrandom effects. A wide variety of link functions, including the expected value,the gradient and shared random effects, are available in order to link thedifferent outcomes in a biologically plausible way. The accompanyingpredict.merlin function allows for individual and population level predictionsto be made from even the most complex models. There is the option to specifyuser-defined families, making merlin ideal for methodological research. Theflexibility of merlin is illustrated using an example in patients followed upafter heart valve replacement, beginning with a linear model, and finishingwith a joint multiple longitudinal and competing risks survival model.

merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models