This article addresses the critical challenge of optimizing the therapeutic index in oncology drug development, moving beyond the traditional maximum tolerated dose (MTD) paradigm.
This article provides a comprehensive framework for researchers and drug development professionals seeking to validate observational study results against randomized controlled trial (RCT) data.
This article provides a comprehensive analysis for researchers and drug development professionals on the evolving roles of Randomized Controlled Trials (RCTs) and observational studies in evaluating pharmaceutical effectiveness.
This article provides a comprehensive overview of the application of Optimal Control Theory (OCT) to optimize the scheduling of cancer combination therapies.
This article provides researchers, scientists, and drug development professionals with a comprehensive guide to addressing the critical challenge of generalizing Randomized Controlled Trial (RCT) findings to real-world populations.
This article addresses the critical challenge of publication bias in comparative effectiveness research (CER), where statistically significant positive results are disproportionately published, distorting the evidence base.
This article provides a comprehensive guide for researchers and drug development professionals on methodologies to reduce uncertainty in Adjusted Indirect Treatment Comparisons (ITCs).
The paradigm for dosing oncology drugs is shifting from the traditional maximum tolerated dose (MTD) approach toward model-informed, optimized strategies, particularly for modern targeted therapies and immunotherapies.
This article provides a comprehensive framework for researchers and drug development professionals on validating Real-World Evidence (RWE) against the gold standard of Randomized Controlled Trials (RCTs).
This article provides a comprehensive guide for researchers and drug development professionals on handling inconsistency between direct and indirect evidence in Network Meta-Analysis (NMA).