Open AccessA novel mathematical model of true ovarian reserve assessment based on predicted probability of poor ovarian response: a retrospective cohort study
Author(s) -
Huiyu Xu,
Guoshuang Feng,
Haiyan Wang,
Yong Han,
Rui Yang,
Ying Song,
Lixue Chen,
Li Shi,
Meng Qian Zhang,
Rong Li,
Jie Qiao
Publication year - 2020
Publication title -
journal of assisted reproduction and genetics
Language(s) - English
Resource type - Journals
eISSN - 1573-7330
pISSN - 1058-0468
DOI - 10.1007/s10815-020-01700-1
Subject(s) - ovarian reserve , antral follicle , logistic regression , cutoff , anti müllerian hormone , retrospective cohort study , reproductive medicine , ovarian follicle , medicine , statistics , gynecology , ovary , biology , mathematics , hormone , pregnancy , infertility , genetics , physics , quantum mechanics
To establish a mathematical model for assessing the true ovarian reserve based on the predicted probability of poor ovarian response (POR).