Basic concepts in hypothesis testing, including effect sizes, type I and type II errors, calculation of statistical power, non-centrality parameter, and applications of these concepts to twin studies.
Across contemporary cardiovascular clinical trials, the estimates of expected event rates and effect sizes that investigators use to calculate sample sizes—and funding requirements—often come in ...
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