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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Multistate models can be used to describe transitions over time acrossstates. In the presence of interval-censored times for transitions, thelikelihood is constructed using transition probabilities. Models are specifiedusing proportional hazards model for the transitions. Time-dependency isusually defined by parametric models, which can be too restrictive.Nonparametric hazards specification with splines allow for flexible modellingof time-dependency without making strong model assumptions. Penalised maximumlikelihood is used to estimate the models. Selecting the optimal amount ofsmoothing is challenging as the problem involves multiple penalties. We proposean automatic and efficient method to estimate multistate models with splines inthe presence of interval-censoring. The method is illustrated with a dataanalysis and a simulation study.

Penalised maximum likelihood estimation in multistate models for interval-censored data