Tag: Outcome Failure

Enhancing Survival Analysis: Innovative Approaches for Small Sample Sizes and Unequal Censoring

Exploring New Imputation and Permutation Methods to Improve Statistical Validity in Clinical Trials The article “Testing and interval estimation for two-sample survival comparisons with small sample sizes and unequal censoring” by Rui Wang, Stephen W. Lagakos, and Robert J. Gray, published in Biostatistics, presents innovative methodologies aimed at addressing significant challenges in survival analysis, particularly when

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EBD vs MTD: An Overview of Bayesian Effective Biological Dose Determination in Immunotherapy Response Trials

The article “Bayesian Effective Biological Dose Determination in Immunotherapy Response Trial” by Souvik Banerjee et al. presents a novel statistical approach to determine the effective biological dose (EBD) for immunotherapy, particularly focusing on checkpoint inhibitors. This research is significant for statisticians, clinicians, and clinical researchers as it addresses the limitations of conventional dose-finding methods in

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Beyond the P-Value: Interpreting Clinical Trials with Failed Outcomes – By Akash Pawar

The article “The Primary Outcome Fails — What Next?” published in the New England Journal of Medicine provides critical insights for clinical researchers and biostatisticians regarding the interpretation of clinical trial results, particularly when primary outcomes do not achieve statistical significance. This blog post will break down the article’s key sections, offering examples and explanations relevant to

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