RELIABILITY AND EFFICIENCY OF THE D, E, S, A-OPTIMAL SAMPLING SCHEDULE DESIGN
TL;DRAbstract
Due to sharp practical and ethical constraints imposed on medical measurements, the parameter estimation procedure designed for diagnosis and therapy, is often a difficult problem. When blood sampling provides the data, the number of samples and the measurement interval should be minimised. We have implemented D, E, S, A-optimal sampling schedule (OSS). These OSS have minimal size, which means that number of samples is equal to the number of model parameters that are being estimating. Setting-up the results of D, E, S and A approaches allows to compare their efficiency and usefulness. Illustrative examples are presented.
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Due to sharp practical and ethical constraints imposed on medical measurements, the parameter estimation procedure designed for diagnosis and therapy, is often a difficult problem. When blood sampling provides the data, the number of samples and the measurement interval should be minimised. We have implemented D, E, S, A-optimal sampling schedule (OSS). These OSS have minimal size, which means that number of samples is equal to the number of model parameters that are being estimating. Setting-up the results of D, E, S and A approaches allows to compare their efficiency and usefulness. Illustrative examples are presented.
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