2019-08-15T13:57:05 n3360

Change point estimation in monitoring survival time: credible intervals for step change point model parameters

Viewed: 1732

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 the credible intervals for step change point model parameters ( and ) following signals (RL) from RAST CUSUM () where and .

Geographical area of data collection

kmlPolyCoords
153.552920,-26.777500 152.452799,-26.777500 152.452799,-28.037280 153.552920,-28.037280 153.552920,-26.777500

Publications

Assareh, Hassan & Mengersen, Kerrie (2012) Change Point Estimation in Monitoring Survival Time. PLoS ONE, 7(3), e33630. http://dx.doi.org/10.1371/journal.pone.0033630

Research areas

Bayes theorem
Cardiac surgery
Monte Carlo method
Death rates
Data processing
Bayesian
Parameters
Credible intervals
Markov models
Surgical and invasive medical procedures
Information and computing sciences
Signals
Cusum
Estimates

Cite this collection

Assareh,Hassan ; Mengersen,Kerrie. (2012): Change point estimation in monitoring survival time: credible intervals for step change point model parameters . [Queensland University of Technology]. https://doi.org/10.4225/09/58576048781da

Related information

The study was supported by Queensland University of Technology and St. Andrew's Medical Institute, Brisbane, Australia, through an ARC linkage. http://dx.doi.org/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

.xls

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

Copyright: © 2012 Assareh, Mengersen.

Dates of data collection

From 2012-01-01 to 2012-12-31

Connections

Was collected by
Kerrie Mengersen  (Researcher)

Contacts

Name: Distinguished Professor Kerrie Mengersen
Phone: +61 7 3138 2063

Other

Date record created:
2014-10-16T14:41:32
Date record modified:
2019-08-15T13:57:05
Record status:
Published - Open Access