Tag: regulatory statistics

Common Pitfalls in Sample Size and Power Assumptions—and How to Avoid Them Common Pitfalls in Sample Size and Power Assumptions—and How to Avoid Them Sample size determination and power analysis are critical components of clinical trial design. Accurate assumptions in these areas can greatly influence the success or failure of a trial. This article aims…

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Documenting Sample Size Justification in Protocol and SAP In clinical research management, sample size justification is a critical component of study protocols and Statistical Analysis Plans (SAP). This documentation ensures that the study is adequately powered to detect clinically meaningful effects while adhering to regulatory guidelines. Properly executed sample size calculations significantly influence the validity…

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Simulations for Complex Sample Size Scenarios in Modern Trial Designs Simulations for Complex Sample Size Scenarios in Modern Trial Designs In the evolving landscape of clinical research, the importance of precise sample size calculations has never been more pronounced. Modern trial designs often introduce complex scenarios, driven by the need for greater efficiency and necessity…

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Sample Size in Rare Disease and Small Population Clinical Programs Sample Size in Rare Disease and Small Population Clinical Programs Determining an appropriate sample size is a critical aspect of planning any clinical trial. This task becomes increasingly complex in the context of rare diseases and small population clinical programs where standard statistical methodologies may…

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Adaptive Sample Size Re-Estimation: Methods, Risks and Regulatory Views Adaptive sample size re-estimation has become an increasingly prominent strategy in the conduct of clinical trials, particularly in the realms of gilead clinical trials and other adaptive trial designs. This comprehensive guide will provide clinical operations, regulatory affairs, and medical affairs professionals in the US, UK,…

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Sample Size Considerations for Time-to-Event and Survival Endpoints Sample Size Considerations for Time-to-Event and Survival Endpoints In the realm of clinical trials, especially those that focus on time-to-event and survival endpoints, determining the appropriate sample size is crucial to ensure the validity and reliability of study findings. This step-by-step guide aims to provide clinical operations,…

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Handling Dropout, Noncompliance and Enrichment in Power Calculations In the landscape of clinical trials, understanding the intricacies of power calculations is essential for ensuring robust study designs that meet regulatory expectations and maintain scientific integrity. This comprehensive guide addresses the critical aspects surrounding dropout rates, noncompliance, and enrichment strategies, providing a systematic approach to performing…

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Designing Sample Size for Superiority, Noninferiority and Equivalence Trials Designing Sample Size for Superiority, Noninferiority and Equivalence Trials Understanding how to design and analyze the sample size for clinical trials is critical for achieving valid and reliable results in the pharmaceutical and clinical research fields. Sample size determination is an essential step in the planning…

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Frequentist vs Bayesian Approaches to Sample Size and Power Frequentist vs Bayesian Approaches to Sample Size and Power Understanding the importance of sample size and statistical power is critical for the successful execution of clinical trials. The choice between frequentist and Bayesian methodologies significantly impacts these calculations and ultimately the design and outcome of a…

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Translating Clinical Objectives Into Statistically Sound Sample Sizes In the realm of clinical research, defining appropriate sample sizes is a pivotal aspect that directly influences the study’s integrity and validity. The process of determining sample sizes is not simply a technical task; it requires a thorough understanding of clinical objectives and statistical principles. This guide…

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