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Understanding Recurrent Events in Epidemiology: A Guide to Statistical Modeling By Akash Pawar

In epidemiological research, we often encounter situations where individuals experience the same event multiple times. Think of hospital readmissions, recurring infections, or repeated disease flare-ups. Analyzing this type of data requires specialized statistical approaches that go beyond traditional survival analysis, which typically focuses only on the time to the first event.Amorim and Cai (2014) published

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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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“Rethinking Borderline Significance: A Call for Clarity in Clinical Trial Reporting” By Akash Pawar

Introduction The article “Interpreting and Reporting Clinical Trials with Results of Borderline Significance” by Allan Hackshaw and Amy Kirkwood, published in the BMJ, addresses a critical issue in clinical research: the interpretation of borderline statistical significance, particularly concerning p-values around the conventional threshold of 0.05. This blog aims to elucidate the key points of the

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