Sequential Predictions of Menstrual Cycle Lengths Paola Bortot Guido Masarotto and Bruno Scarpa Department of Statistical Sciences University of Bologna Italy via Zamboni Bologna Department of St
scarpaunipdit Summary Forecasting the length of the menstrual cycle and of its phases is an important problem in infertility management and natural family planning Using repeated measurements of the length of the entire cycle and of the preovular pha
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