Multiple Comparisons for Making Decisions
*Jason Hsu, The Ohio State University 
*Bo Lu, The Ohio State University 

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This course is about using multiple comparisons to make decisions in clinical and genomic studies. We will discuss the construction of multiple tests using the fundamental principle of Partitioning, with Holm’s method and Hochberg’s method as examples. This will include subtle issues in the control of Family-wise Error Rate, generalized Family-wise Error Rate, and False Discovery Rate. Applications are drawn from studies involving bioequivalence, multiple endpoints, and personalized medicine.