2018
DOI: 10.1371/journal.pone.0206700
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HIV 2-LTR experiment design optimization

Abstract: Clinical trials are necessary in order to develop treatments for diseases; however, they can often be costly, time consuming, and demanding to the patients. This paper summarizes several common methods used for optimal design that can be used to address these issues. In addition, we introduce a novel method for optimizing experiment designs applied to HIV 2-LTR clinical trials. Our method employs Bayesian techniques to optimize the experiment outcome by maximizing the Expected Kullback-Leibler Divergence (EKLD… Show more

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Cited by 3 publications
(4 citation statements)
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“…Viral decay was calculated using linear regression on log-transformed data. Confidence intervals were computed using previously described models of HIV qPCR and digital PCR uncertainty (53)(54)(55)(56).…”
Section: Methodsmentioning
confidence: 99%
“…Viral decay was calculated using linear regression on log-transformed data. Confidence intervals were computed using previously described models of HIV qPCR and digital PCR uncertainty (53)(54)(55)(56).…”
Section: Methodsmentioning
confidence: 99%
“…This work considers four different six-point sampling schedules obtained from four different optimal design criteria [33]. We investigate four sampling schedules informative with respect to β information index.…”
Section: β-Information Gain For Generalized Distributionsmentioning
confidence: 99%
“…The parameter values used for data generation are given in Table 2. [33]. We investigate four sampling schedules informative with respect to β information index.…”
Section: Hiv 1 2-ltr Dynamicsmentioning
confidence: 99%
“…Experiments will need to be designed to collect data for model tuning and validation (a process known as system identification in control theory). 26 , 152 , 158 From there appropriate open-loop strategies (in which a fixed intervention schedule is applied based on measured starting conditions) and/or closed-loop strategies (in which the schedule is continually adapted based on new measurements) can be developed. 32 , 239 , 281 …”
Section: Opportunities For Bioengineers To Study Respiratory Viral LImentioning
confidence: 99%