Covariate-adaptive randomization represents an advanced methodology in the design of clinical trials, ensuring a balanced distribution of prognostic factors among treatment groups. This approach ...
When REDCap did not offer a way to use covariate-adaptive randomization algorithms (CARAs), researchers realized they would ...
Murine Anti-GD2 Monoclonal Antibody 3F8 Combined With Granulocyte-Macrophage Colony-Stimulating Factor and 13-Cis-Retinoic Acid in High-Risk Patients With Stage 4 Neuroblastoma in First Remission We ...
Pharmaceutical companies will accelerate adoption of adaptive clinical trial designs, according to the Tufts Center for Drug Development, to reduce clinical development timelines and costs while ...
Response-adaptive designs allow the randomization probabilities to change during the course of a trial based on cumulated response data so that a greater proportion of patients can be allocated to the ...
Randomization have proven to be an efficient way of reducing bias and thus is widely used in clinical trials. Randomization ensures that subject allocation is balanced across treatment group and is ...
The decision of how to allocate subjects to treatment groups is of great importance in experimental clinical trials for novel investigational drugs, a multibillion-dollar industry. Statistical power, ...
Customizing Cisplatin Based on Quantitative Excision Repair Cross-Complementing 1 mRNA Expression: A Phase III Trial in Non–Small-Cell Lung Cancer In this open-label phase II clinical trial, the ...
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