The analysis of neurologic studies using an extended exponential model

At some point in time during a post-surgery period, an anesthesiologist may intervene using a medication to quicken a patient’s conscious-recovery time. An assessment of such intervention methods has clinical importance. One performs an extension of the exponential model to address this issue. The m...

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Bibliographic Details
Published in:Mathematics and computers in simulation 2002-05, Vol.59 (1), p.81-85
Main Authors: Shanmugam, Ramalingam, Bartolucci, Alfred A., Singh, Karan P.
Format: Article
Language:English
Subjects:
Anesthesiology
Applied sciences
Computer science
control theory
systems
Control system analysis
Control theory. Systems
Data reduction
Drug dosage
Exact sciences and technology
Exponential
Hazard
Intervened
Mathematical models
Neurology
Operational research and scientific management
Operational research. Management science
Parameter estimation
Patient monitoring
Statistical methods
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Summary:At some point in time during a post-surgery period, an anesthesiologist may intervene using a medication to quicken a patient’s conscious-recovery time. An assessment of such intervention methods has clinical importance. One performs an extension of the exponential model to address this issue. The model derived is the intervened exponential model (IED). Statistical properties of this new model, expressions to estimate the model parameters, and a test statistic procedure to verify conjectures about the intervention efforts are derived. Other concepts, such as the hazard function and its relevance to this model are introduced and examined. An illustrative example is pursued to demonstrate this procedure.
ISSN:0378-4754
1872-7166
DOI:10.1016/S0378-4754(01)00395-0