2016-12-19T14:28:34 n3683

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

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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 posterior estimates (mode, sd.) of 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), http://dx.doi.org/10.1371/journal.pone.0033630

Research areas

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

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]. http://dx.doi.org/10.4225/09/5857618605136

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 - to 2012

Connections

Was collected by
Kerrie Mengersen  (Researcher)

Contacts

Name: Professor Kerrie Mengersen

Other

Date record created:
2014-10-16T14:07:58
Date record modified:
2016-12-19T14:28:34
Record status:
Published - Open Access