Matches in SemOpenAlex for { <https://semopenalex.org/work/W13727092> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W13727092 endingPage "72" @default.
- W13727092 startingPage "67" @default.
- W13727092 abstract "In adaptive dose-finding clinical trials, the strategy is to init ially include only a few patients on some doses to explore the dose-response, then to allocate the dose range of interest to more patients. This reduces the allocation of patients to non-informative doses and also save the trial cost. Bayesian adaptive dose finding design has the ability to ut ilize accumulat ing data obtained in real time to alter the course of the trial, thereby enabling dynamic allocation to different dosing groups and dropping of ineffective dosing group earlier. In this research, Bayesian adaptive method was used as a new and useful approach that applies to phase II dose-finding clinical trials to evaluate safety and efficacy of the study treatment. We applied Normal Dynamic Linear Models (NDLMs) and response model in stages 1-4. Conditional probability for each parameter in the model was derived using appropriate prior distributions. Markov Chain Monte Carlo (M CMC) method is used to do the simulat ion. The results give clearer idea if one needs to go further to test new dose levels based on the thorough evaluation of the existing partial data. Model parameters with mean ingful prior distributions and the posterior quantities are obtained to evaluate the trial results and they help to determine the optimal dose level wh ich can be used in the phase III study. Simu lations have been done for different scenarios and used to validate the model. Five thousands simu lation trials were conducted to verify the repeatability of the results. The posterior probability of success for the trial is greater than 90% based on the simulat ion result. Co mparing with the other adaptive dose finding strategy, the proposed Bayesian adaptive design are sensitive and robust to help the investigators draw conclusion as early as possible. The design can reduce sample size substantially wh ich in turn leads to savings in cost and time." @default.
- W13727092 created "2016-06-24" @default.
- W13727092 creator A5017663901 @default.
- W13727092 creator A5071247633 @default.
- W13727092 date "2013-01-01" @default.
- W13727092 modified "2023-09-24" @default.
- W13727092 title "The Application of Bayesian Adaptive Design in Clinical Trials" @default.
- W13727092 cites W1925050405 @default.
- W13727092 cites W1926357153 @default.
- W13727092 cites W1980363510 @default.
- W13727092 cites W2162740426 @default.
- W13727092 cites W2589230655 @default.
- W13727092 hasPublicationYear "2013" @default.
- W13727092 type Work @default.
- W13727092 sameAs 13727092 @default.
- W13727092 citedByCount "0" @default.
- W13727092 crossrefType "journal-article" @default.
- W13727092 hasAuthorship W13727092A5017663901 @default.
- W13727092 hasAuthorship W13727092A5071247633 @default.
- W13727092 hasConcept C105795698 @default.
- W13727092 hasConcept C107673813 @default.
- W13727092 hasConcept C111350023 @default.
- W13727092 hasConcept C126255220 @default.
- W13727092 hasConcept C126322002 @default.
- W13727092 hasConcept C159985019 @default.
- W13727092 hasConcept C160234255 @default.
- W13727092 hasConcept C192562407 @default.
- W13727092 hasConcept C19499675 @default.
- W13727092 hasConcept C204323151 @default.
- W13727092 hasConcept C207201462 @default.
- W13727092 hasConcept C2777288759 @default.
- W13727092 hasConcept C33923547 @default.
- W13727092 hasConcept C41008148 @default.
- W13727092 hasConcept C535046627 @default.
- W13727092 hasConcept C71924100 @default.
- W13727092 hasConcept C98274493 @default.
- W13727092 hasConcept C98763669 @default.
- W13727092 hasConceptScore W13727092C105795698 @default.
- W13727092 hasConceptScore W13727092C107673813 @default.
- W13727092 hasConceptScore W13727092C111350023 @default.
- W13727092 hasConceptScore W13727092C126255220 @default.
- W13727092 hasConceptScore W13727092C126322002 @default.
- W13727092 hasConceptScore W13727092C159985019 @default.
- W13727092 hasConceptScore W13727092C160234255 @default.
- W13727092 hasConceptScore W13727092C192562407 @default.
- W13727092 hasConceptScore W13727092C19499675 @default.
- W13727092 hasConceptScore W13727092C204323151 @default.
- W13727092 hasConceptScore W13727092C207201462 @default.
- W13727092 hasConceptScore W13727092C2777288759 @default.
- W13727092 hasConceptScore W13727092C33923547 @default.
- W13727092 hasConceptScore W13727092C41008148 @default.
- W13727092 hasConceptScore W13727092C535046627 @default.
- W13727092 hasConceptScore W13727092C71924100 @default.
- W13727092 hasConceptScore W13727092C98274493 @default.
- W13727092 hasConceptScore W13727092C98763669 @default.
- W13727092 hasIssue "2" @default.
- W13727092 hasLocation W137270921 @default.
- W13727092 hasOpenAccess W13727092 @default.
- W13727092 hasPrimaryLocation W137270921 @default.
- W13727092 hasRelatedWork W1014637638 @default.
- W13727092 hasRelatedWork W1895279792 @default.
- W13727092 hasRelatedWork W1949834730 @default.
- W13727092 hasRelatedWork W1995594967 @default.
- W13727092 hasRelatedWork W2032489711 @default.
- W13727092 hasRelatedWork W2092811195 @default.
- W13727092 hasRelatedWork W2110878952 @default.
- W13727092 hasRelatedWork W2161946427 @default.
- W13727092 hasRelatedWork W2274054852 @default.
- W13727092 hasRelatedWork W2338034583 @default.
- W13727092 hasRelatedWork W2509620695 @default.
- W13727092 hasRelatedWork W2625526798 @default.
- W13727092 hasRelatedWork W2744742277 @default.
- W13727092 hasRelatedWork W2944255357 @default.
- W13727092 hasRelatedWork W3009023084 @default.
- W13727092 hasRelatedWork W3108294897 @default.
- W13727092 hasRelatedWork W3114784762 @default.
- W13727092 hasRelatedWork W3124906583 @default.
- W13727092 hasRelatedWork W3164127221 @default.
- W13727092 hasRelatedWork W322518622 @default.
- W13727092 hasVolume "3" @default.
- W13727092 isParatext "false" @default.
- W13727092 isRetracted "false" @default.
- W13727092 magId "13727092" @default.
- W13727092 workType "article" @default.