Multiplicity Adjustment in Clinical Trials: Methods and Applications
Explore the importance of multiplicity adjustment methods in the design and analysis of clinical trials, including the motivation behind classical approaches, examples of multiplicity problems, and the concept of controlling Familywise Error Rate (FWER). Understand the need for adjusting p-values to
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Understanding the Importance of Post-hoc Adjustments in Statistical Analysis
Exploring the significance of post-hoc adjustments in statistical testing to avoid reporting spurious effects and maintain integrity in research. The concept of Familywise Error Rate (FWER) and False Discovery Rate (FDR) control methods, as well as the Bonferroni Correction, are discussed to address
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