2019-08-15T13:51:48 n4669

Change point estimation in monitoring survival time: average of posterior estimates of step change point model parameters

Viewed: 1234

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 average of posterior estimates (mode, sd.) of step change point model parameters ( and ) for a change in the mean survival time 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). http://dx.doi.org/10.1371/journal.pone.0033630

Research areas

Death rates
Biotechnology
Posterior
Rast
Cardiac surgery
Medical and health sciences
Markov models
Signals
Estimates
Parameters
Surgical and invasive medical procedures
MATHEMATICAL SCIENCES
Monte Carlo method
Information and computing sciences
Bayes theorem
Data processing
Cusum

Cite this collection

Assareh,Hassan ; Mengersen,Kerrie. (2012): Change point estimation in monitoring survival time: average of posterior estimates of step change point model parameters. [Queensland University of Technology]. https://doi.org/10.4225/09/58575e538e8a3

Related information

Hassan Assareh, former research officer, QUT - collaborator http://eprints.qut.edu.au/view/person/Assareh,_Hassan.html
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

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 2010 to 2011

Connections

Was collected by
Kerrie Mengersen  (Researcher)

Contacts

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

Other

Date record created:
2014-07-04T09:48:44
Date record modified:
2019-08-15T13:51:48
Record status:
Published - Open Access