| An application of longitudinal methods to the analysis of menstrual diary data. | |
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MedLine Citation:
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PMID: 1940994 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Despite the considerable morbidity associated with menstrual dysfunction and mounting evidence that women's endogenous endocrine environment influences their long term health, epidemiologic investigation of menstruation is limited. A major obstacle has been the difficulty in analyzing menstrual diary data. This paper describes the variability in menstrual cycle length in college women using a longitudinal perspective. We first characterize the distribution of cycle length and show that it can be approximated by a mixture of a nearly symmetric distribution centered at 28 days and a stochastically larger component which produces a long right tail. After assessing the degree of heterogeneity in cycling patterns, we propose an analytical approach that examines cycle lengths within the symmetric portion of the distribution and cycle lengths within the tail of the distribution separately using random effects models. |
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Authors:
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S D Harlow; S L Zeger |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of clinical epidemiology Volume: 44 ISSN: 0895-4356 ISO Abbreviation: J Clin Epidemiol Publication Date: 1991 |
Date Detail:
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Created Date: 1991-12-03 Completed Date: 1991-12-03 Revised Date: 2004-11-17 |
Medline Journal Info:
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Nlm Unique ID: 8801383 Medline TA: J Clin Epidemiol Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 1015-25 Citation Subset: IM |
Affiliation:
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Department of Epidemiology, School of Public Health of Mexico, National Institute of Public Health, Cuernavaca, Morelos. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Female Humans Longitudinal Studies Menstrual Cycle* Models, Biological Regression Analysis Self Disclosure Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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