Change point estimation in monitoring survival time: posterior estimates of step change point model parameters
The dataset was collected to model change point estimation in time-to-event data for a clinical process with dichotomous outcomes, death and survival, where patient mix was present. Modelling was completed using a Bayesian framework. The performance of the Bayesian estimators was investigated through simulation in conjunction with RAST CUSUM control charts for monitoring right censored survival time of patients who underwent cardiac surgery procedures within a follow-up period of 30 days.
The dataset presents posterior estimates (mode, sd.) of step change point model parameters ( and ) following signals (RL) from RAST CUSUM () where and .
Geographical area of data collection
153.552920,-26.777500 152.452799,-26.777500 152.452799,-28.037280 153.552920,-28.037280 153.552920,-26.777500
Assareh, Hassan & Mengersen, Kerrie (2012) Change Point Estimation in Monitoring Survival Time. PLoS ONE, 7(3), http://dx.doi.org/10.1371/journal.pone.0033630
Surgical and invasive medical procedures
Information and computing sciences
Cite this collection
Assareh, Hassan ; Mengersen, Kerrie (2012): Change point estimation in monitoring survival time: posterior estimates of step change point model parameters. Queensland University of Technology. (Dataset) https://doi.org/10.4225/09/5857618605136
The study was supported by Queensland University of Technology and St. Andrew's Medical Institute, Brisbane, Australia, through an ARC linkage. https://doi.org/10.1371/journal.pone.0033630
Hassan Assareh, former research officer, QUT - collaborator http://eprints.qut.edu.au/view/person/Assareh,_Hassan.html
Access the data
Data file types
Creative Commons Attribution 4.0 (CC-BY)
Copyright: © 2012 Assareh, Mengersen.
Dates of data collection
From - to 2012
Was collected by
Name: Distinguished Professor Kerrie Mengersen
Phone: +61 7 3138 2063
Date record created:
Date record modified:
Published - Open Access