A novel mathematical model of true ovarian reserve assessment based on predicted probability of poor ovarian response: a retrospective cohort study | Zendy

Huiyu Xu | Zendy; Guoshuang Feng | Zendy; Haiyan Wang | Zendy; Yong Han | Zendy; Rui Yang | Zendy; Ying Song | Zendy; Lixue Chen | Zendy; Li Shi | Zendy; Meng Qian Zhang | Zendy; Rong Li | Zendy; Jie Qiao | Zendy

Open Access

A 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 , physics , quantum mechanics , genetics

To establish a mathematical model for assessing the true ovarian reserve based on the predicted probability of poor ovarian response (POR).

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