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

This paper introduces a cure rate survival model by assuming that the time tothe event of interest follows a beta prime distribution and that the number ofcompeting causes of the event of interest follows a negative binomialdistribution. This model provides a novel alternative to the existing cure rateregression models due to its flexibility, as the beta prime model can exhibitgreater levels of skewness and kurtosis than those of the gamma and inverseGaussian distributions. Moreover, the hazard rate of this model can have anupside-down bathtub or an increasing shape. We approach both parameterestimation and local influence based on likelihood methods. In special, threeperturbation schemes are considered for local influence. Numerical evaluationof the proposed model is performed by Monte Carlo simulations. In order toillustrate the potential for practice of our model we apply it to a real dataset.

The negative binomial beta prime regression model with cure rate