Multivariate
Explore advanced multivariate statistical concepts and techniques in this comprehensive 6-hour tutorial series. Delve into topics such as multivariate sign tests, bivariate normal distributions, linear discriminant analysis, and quadratic forms. Learn to apply R programming for calculating probabilities, conducting tests, and determining power and sample sizes. Investigate statistical distance, Gaussian integrals, and spherical coordinates. Examine multivariate normal distributions, confidence regions, and descriptive statistics. Study advanced topics like Follmann's test for comparing treatment arms and dose escalation hypotheses. Gain insights into covariance, random vectors, and matrices. Conclude with an in-depth exploration of principal component analysis, covering background, derivation, explained variance, and correlation.