Modelling menstrual cycle length and variability at the approach of menopause by using hierarchical change point models

DOI10.1111/rssc.12044MaRDI QIDQ6639012

Xiaobi Huang, Michael R. Elliott, Siobán D. Harlow

Publication date: 14 November 2024

Published in: Journal of the Royal Statistical Society. Series C. Applied Statistics (Search for Journal in Brave)

zbMATH Keywords

multiple imputationchange point modelfinal menstrual periodTreloar Minnesota data

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

This page was built for publication: Modelling menstrual cycle length and variability at the approach of menopause by using hierarchical change point models