title: On some useful statistical techniques in the analysis of hormone data.
abstract: 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.
mesh_terms: 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*
chemical_list: D006063:Chorionic Gonadotropin; D006728:Hormones; D013256:Steroids; D003687:Dehydroepiandrosterone; D011374:Progesterone; D011284:Pregnenolone