HIV 2-LTR experiment design optimization.
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 nove...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC6224063?pdf=render |
| _version_ | 1828329730210791424 |
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| author | LaMont Cannon Cesar A Vargas-Garcia Aditya Jagarapu Michael J Piovoso Ryan Zurakowski |
| author_facet | LaMont Cannon Cesar A Vargas-Garcia Aditya Jagarapu Michael J Piovoso Ryan Zurakowski |
| author_sort | LaMont Cannon |
| collection | DOAJ |
| description | 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) between the a priori knowledge of system parameters before the experiment and the a posteriori knowledge of the system parameters after the experiment. We show that our method is robust and performs equally well if not better than traditional optimal experiment design techniques. |
| first_indexed | 2024-04-13T20:29:37Z |
| format | Article |
| id | doaj.art-a6e1e383fb5643e882b812bc2c2455d6 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T20:29:37Z |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-a6e1e383fb5643e882b812bc2c2455d62022-12-22T02:31:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011311e020670010.1371/journal.pone.0206700HIV 2-LTR experiment design optimization.LaMont CannonCesar A Vargas-GarciaAditya JagarapuMichael J PiovosoRyan ZurakowskiClinical 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) between the a priori knowledge of system parameters before the experiment and the a posteriori knowledge of the system parameters after the experiment. We show that our method is robust and performs equally well if not better than traditional optimal experiment design techniques.http://europepmc.org/articles/PMC6224063?pdf=render |
| spellingShingle | LaMont Cannon Cesar A Vargas-Garcia Aditya Jagarapu Michael J Piovoso Ryan Zurakowski HIV 2-LTR experiment design optimization. PLoS ONE |
| title | HIV 2-LTR experiment design optimization. |
| title_full | HIV 2-LTR experiment design optimization. |
| title_fullStr | HIV 2-LTR experiment design optimization. |
| title_full_unstemmed | HIV 2-LTR experiment design optimization. |
| title_short | HIV 2-LTR experiment design optimization. |
| title_sort | hiv 2 ltr experiment design optimization |
| url | http://europepmc.org/articles/PMC6224063?pdf=render |
| work_keys_str_mv | AT lamontcannon hiv2ltrexperimentdesignoptimization AT cesaravargasgarcia hiv2ltrexperimentdesignoptimization AT adityajagarapu hiv2ltrexperimentdesignoptimization AT michaeljpiovoso hiv2ltrexperimentdesignoptimization AT ryanzurakowski hiv2ltrexperimentdesignoptimization |