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 ...

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.

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...