Assessing heterogeneity in menstrual cycles by means of a multilevel latent class approach
Author:
Affiliation:
1. Department of Statistical Sciences, University of Padua, Padua, Italy
Publisher
Informa UK Limited
Subject
Genetics,Anthropology,Ecology, Evolution, Behavior and Systematics,Demography
Link
https://www.tandfonline.com/doi/pdf/10.1080/19485565.2020.1711703
Reference32 articles.
1. The risk of conception on different days of the menstrual cycle
2. Latent class modeling of markers of day-specific fertility
3. Estimating True Changes when Categorical Panel Data are Affected by Uncorrelated and Correlated Classification Errors
4. SYMPTOMS AND HORMONAL CHANGES ACCOMPANYING OVULATION
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1. Evidence that the woman’s ovarian cycle is driven by an internal circamonthly timing system;Science Advances;2024-04-12
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