| Sinusoidal cox regression-a rare cancer example. | |
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MedLine Citation:
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PMID: 21151849 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Evidence of an association between survival time and date of birth would suggest an etiologic role for a seasonally variable environmental exposure occurring within a narrow perinatal time period. Risk factors that may exhibit seasonal epidemicity include diet, infectious agents, allergens, and antihistamine use. Typically data has been analyzed by simply categorizing births into months or seasons of the year and performing multiple pairwise comparisons. This paper presents a statistically robust alternative, based upon a trigonometric Cox regression model, to analyze the cyclic nature of birth dates related to patient survival. Disease birth-date results are presented using a sinusoidal plot with peak date(s) of relative risk and a single P value that indicates whether an overall statistically significant seasonal association is present. Advantages of this derivative-free method include ease of use, increased power to detect statistically significant associations, and the ability to avoid arbitrary, subjective demarcation of seasons. |
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Authors:
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Jimmy Thomas Efird |
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Publication Detail:
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Type: Journal Article Date: 2010-11-28 |
Journal Detail:
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Title: Cancer informatics Volume: 9 ISSN: 1176-9351 ISO Abbreviation: Cancer Inform Publication Date: 2010 |
Date Detail:
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Created Date: 2010-12-14 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101258149 Medline TA: Cancer Inform Country: New Zealand |
Other Details:
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Languages: eng Pagination: 265-79 Citation Subset: - |
Affiliation:
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Epidemiologist/Chief Statistician and Director of Shared Resources, Center for Health Disparities Research, Brody School of Medicine, East Carolina University, 1800 W. 5th Street (Medical Pavilon), Greenville, NC 27834 USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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