Data

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

Queensland University of Technology
Assareh, Hassan ; Mengersen, Kerrie
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Open Licence view details
CC-BY

Creative Commons Attribution 3.0
http://creativecommons.org/licenses/by/3.0/au/

Copyright: © 2012 Assareh, Mengersen.

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Contact Information

Postal Address:
Distinguished Professor Kerrie Mengersen
Ph: +61 7 3138 2063

[email protected]

Full description

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 .

Data time period: 2012

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153.55292,-26.7775 152.4528,-26.7775 152.4528,-28.03728 153.55292,-28.03728 153.55292,-26.7775

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Subjects
Bayes theorem | Bayesian | Biotechnology | Built-in | Cardiac surgery | Charts | Cusum | Data processing | Death rates | Estimator | Information and Computing Sciences | Mathematical Sciences | Markov models | Racusum | Signals | Surgical and invasive medical procedures |

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