2016-12-19T14:34:19 n5641

Change point estimation in monitoring survival time: probability of the occurrence of the change point in the last {25, 50, 100, 200, 300, 400, 500} observations prior to signalling for RAST CUSUM

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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 probability of the occurrence of the change point in the last {25, 50, 100, 200, 300, 400, 500} observations prior to signalling for 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

Signals
Markov models
Monte Carlo method
Estimator
Racusum
MATHEMATICAL SCIENCES
Data processing
Biotechnology
Cardiac surgery
Information and computing sciences
Bayesian
Bayes theorem
Death rates
Charts
Cusum
Surgical and invasive medical procedures

Cite this collection

Assareh,Hassan ; Mengersen,Kerrie. (2014): Change point estimation in monitoring survival time: probability of the occurrence of the change point in the last {25, 50, 100, 200, 300, 400, 500} observations prior to signalling for RAST CUSUM. [Queensland University of Technology]. http://dx.doi.org/10.4225/09/58576258385db

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/10.1371/journal.pone.0033630

Access the data

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

Has association with
Kerrie Mengersen  (Researcher)
Was collected by
Kerrie Mengersen  (Researcher)

Contacts

Name: Professor Kerrie Mengersen

Other

Date record created:
2014-10-16T17:36:47
Date record modified:
2016-12-19T14:34:19
Record status:
Published - Open Access