The menstrual cycle is a complex process involving multiple hormones which are regulated by intricate feedback mechanisms. Hormones, such as luteinizing hormone, follicle stimulating hormone, estrogen, and progesterone follow a cyclical pattern, which is coordinated by the hypothalamic-pituitary-ovarian axis. Considerable variability exists both between women and within a woman from cycle to cycle. Hormone levels and cycle characteristics have been associated with various reproductive outcomes, such as fertility, and spontaneous abortion, as well as with breast and ovarian cancer, uterine fibroids, diabetes, and cardiovascular disease. To better describe factors associated with menstrual cycle function and inform women's health research, statistical models are needed which appropriately account for the intricacies of the menstrual cycle biology. Here we are interested in developing various approaches to modeling menstrual cycle function in order to answer the following types of questions:
Current topics of interest include the application of harmonic models to model menstrual cycle function, as well as the use of joint-models to model the four reproductive hormones simultaneously.
Enrique F. Schisterman, Ph.D. & Paul Albert, Ph.D.
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