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

In this paper, we discuss the connection between the RGRST models (Gardineret al 2002, Polverejan et al 2003) and the Coxian Phase-Type (CPH) models(Marshall et al 2007, Tang 2012) through a construction that converts a specialsub-class of RGRST models to CPH models. Both of the two models are widely usedto characterize the distribution of hospital charge and length of stay (LOS),but the lack of connections between them makes the two models rarely usedtogether. We claim that our construction can make up this gap and make itpossible to take advantage of the two different models simultaneously. As aconsequence, we derive a measure of the "price" of staying in each medicalstage (identified with phases of a CPH model), which can't be approachedwithout considering the RGRST and CPH models together.A two-stage algorithm isprovided to generate consistent estimation of model parameters. Applying thealgorithm to a sample drawn from the New York State's Statewide Planning andResearch Cooperative System 2013 (SPARCS 2013), we estimate the prices in afour-phase CPH model and discuss the implications.

Insert "Price" to Coxian Phase-Type Models: An Application to Hospital Charge and Length of Stay Data