Category: Technology

Understanding Recurrent Events in Epidemiology: A Guide to Statistical Modeling

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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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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