A self‐excited threshold autoregressive state‐space model for menstrual cycles: Forecasting menstruation and identifying within‐cycle stages based on basal body temperature-Reference-Cited by-同舟云学术

A self‐excited threshold autoregressive state‐space model for menstrual cycles: Forecasting menstruation and identifying within‐cycle stages based on basal body temperature

Published:2019-01-21 Issue:12 Volume:38 Page:2157-2170
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Kawamori Ai¹,Fukaya Keiichi¹²^ORCID,Kitazawa Masumi³,Ishiguro Makio¹

Affiliation:

1. The Institute of Statistical Mathematics Tokyo Japan

2. National Institute for Environmental Studies Tsukuba Japan

3. QOL Corporation Nagano Japan

Funder

National Institute of Information and Communications Technology (NICT), Japan

ISM Research Collaboration Start-up program

Institute of Statistical Mathematics

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8096

Reference34 articles.

1. An application of longitudinal methods to the analysis of menstrual diary data

2. Variability in the Phases of the Menstrual Cycle

3. Basal Body Temperature Assessment

4. Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors

5. Temporal relationship and reliability of the clinical, hormonal, and ultrasonographic indices of ovulation in infertile women;Luciano AA;Obstet Gynecol,1990

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