Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study
This article investigates the dichotomy between higher statistical power and higher allocation to better treatment in an ethical-optimal response-adaptive design. Although many response-adaptive designs in the literature promise higher allocation to the superior treatment, this is not always guarant...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | IIMB Management Review |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0970389623000952 |
| _version_ | 1797372964182687744 |
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| author | L. Ramprasath Mohammed Shahid Abdulla |
| author_facet | L. Ramprasath Mohammed Shahid Abdulla |
| author_sort | L. Ramprasath |
| collection | DOAJ |
| description | This article investigates the dichotomy between higher statistical power and higher allocation to better treatment in an ethical-optimal response-adaptive design. Although many response-adaptive designs in the literature promise higher allocation to the superior treatment, this is not always guaranteed due to the variability of the designs. A new criterion for evaluating response-adaptive designs, motivated by the value-at-risk measure, is proposed to address this problem. We also provide an illustration of applying this criterion in a real clinical trial. |
| first_indexed | 2024-03-08T18:43:24Z |
| format | Article |
| id | doaj.art-e7030c69ce904af1b14bbb2a57373087 |
| institution | Directory Open Access Journal |
| issn | 0970-3896 |
| language | English |
| last_indexed | 2024-03-08T18:43:24Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | IIMB Management Review |
| spelling | doaj.art-e7030c69ce904af1b14bbb2a573730872023-12-29T04:44:50ZengElsevierIIMB Management Review0970-38962023-12-01354418425Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical studyL. Ramprasath0Mohammed Shahid Abdulla1Corresponding author; Indian Institute of Management, Kozhikode, Kerala, IndiaIndian Institute of Management, Kozhikode, Kerala, IndiaThis article investigates the dichotomy between higher statistical power and higher allocation to better treatment in an ethical-optimal response-adaptive design. Although many response-adaptive designs in the literature promise higher allocation to the superior treatment, this is not always guaranteed due to the variability of the designs. A new criterion for evaluating response-adaptive designs, motivated by the value-at-risk measure, is proposed to address this problem. We also provide an illustration of applying this criterion in a real clinical trial.http://www.sciencedirect.com/science/article/pii/S0970389623000952Clinical trialEthicsOptimalityResponse adaptive designBandit algorithm |
| spellingShingle | L. Ramprasath Mohammed Shahid Abdulla Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study IIMB Management Review Clinical trial Ethics Optimality Response adaptive design Bandit algorithm |
| title | Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study |
| title_full | Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study |
| title_fullStr | Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study |
| title_full_unstemmed | Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study |
| title_short | Reducing the patients-at-risk (PaR) in a response-adaptive trial: A numerical study |
| title_sort | reducing the patients at risk par in a response adaptive trial a numerical study |
| topic | Clinical trial Ethics Optimality Response adaptive design Bandit algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S0970389623000952 |
| work_keys_str_mv | AT lramprasath reducingthepatientsatriskparinaresponseadaptivetrialanumericalstudy AT mohammedshahidabdulla reducingthepatientsatriskparinaresponseadaptivetrialanumericalstudy |