On some useful statistical techniques in the analysis of hormone data.
Three multivariate statistical techniques, which have been found very useful in the analysis of hormone data, are demonstrated. The value of these techniques as a means of compressing the information contained in a complex array of experimental units and variates into a few "dimensions" is emphasised.
D000704:Analysis of Variance; D006063:Chorionic Gonadotropin / Q000494:pharmacology; D003687:Dehydroepiandrosterone / Q000378:metabolism; D005260:Female; D006728:Hormones / Q000032:analysis*; D006801:Humans; D006080:Ovarian Follicle / Q000187:drug effects / Q000502:physiology; D010060:Ovulation; D011284:Pregnenolone / Q000378:metabolism; D011374:Progesterone / Q000378:metabolism; D013223:Statistics as Topic; D013256:Steroids / Q000032:analysis*
D006063:Chorionic Gonadotropin; D006728:Hormones; D013256:Steroids; D003687:Dehydroepiandrosterone; D011374:Progesterone; D011284:Pregnenolone