Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2023 Jan 9;13:1022044. doi: 10.3389/fendo.2022.1022044

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2023 Wang, Yang, Liu, Hu, Li, Ren, Xi, Zhu and Jin

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

Nomogram with covariate distribution for predicting pregnancy using the multivariate logistic regression. The variables included in the nomogram were age, AMH, GVBD rate, infertility duration, AFC, progesterone on HCG day and overall ART attempts. Corresponding points were computed by drawing vertical lines from each variable axis upward to the point axis in the first row. The total points were then summed up and marked downward to the probability of the pregnancy outcomes in the last row. The variables marked with “*” were factors associated with pregnancy outcomes in the nomogram.