2016-12-19T14:10:02 n13943

Change point estimation in monitoring survival time: average of detected time of a step change in the mean survival time

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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 average of detected time of a step change in the mean survival time obtained by the Bayesian estimator () and CUSUM built-in estimator following signals (RL) from RACUSUM () 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

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

Cite this collection

Assareh, Hassan; Mengersen, Kerrie (2012): Average of detected time of a step change in the mean survival time obtained by the Bayesian estimator () and CUSUM built-in estimator following signals (RL) from RACUSUM () where and . Table_6.xls. PLOS ONE. 10.1371/journal.pone.0033630.t006
Mengersen,Kerrie; Assareh,Hassan. (2014): Change point estimation in monitoring survival time: average of detected time of a step change in the mean survival time. [Queensland University of Technology]. http://dx.doi.org/10.4225/09/58575ce329a17

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/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 2010-01-01 to 2011-12-31

Connections

Was collected by

Contacts

Name: Professor Kerrie Mengersen

Other

Date record created:
2014-07-04T10:42:13
Date record modified:
2016-12-19T14:10:02
Record status:
Published - Open Access