Source:http://linkedlifedata.com/resource/pubmed/id/10680727
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
2000-3-10
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pubmed:abstractText |
Surveillance of chronic diseases includes monitoring trends in age-adjusted rates in the general population. Statistics that are calculated to describe and compare trends include the annual percent change and the percent change for a specified time period. However, it is also of interest to determine the contribution specific diseases make to an overall trend in order to better understand the impact of interventions and changes in the prevalence of risk factors. The objective here is to provide a method for partitioning a linear trend in age-adjusted rates into disease-specific components.
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pubmed:commentsCorrections | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jan
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pubmed:issn |
0957-5243
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
11
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
31-5
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pubmed:dateRevised |
2004-11-17
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pubmed:meshHeading |
pubmed-meshheading:10680727-Adolescent,
pubmed-meshheading:10680727-Adult,
pubmed-meshheading:10680727-Age Factors,
pubmed-meshheading:10680727-Aged,
pubmed-meshheading:10680727-Child,
pubmed-meshheading:10680727-Child, Preschool,
pubmed-meshheading:10680727-Epidemiologic Studies,
pubmed-meshheading:10680727-Female,
pubmed-meshheading:10680727-Humans,
pubmed-meshheading:10680727-Infant,
pubmed-meshheading:10680727-Infant, Newborn,
pubmed-meshheading:10680727-Linear Models,
pubmed-meshheading:10680727-Male,
pubmed-meshheading:10680727-Middle Aged,
pubmed-meshheading:10680727-Mortality,
pubmed-meshheading:10680727-Neoplasms,
pubmed-meshheading:10680727-United States
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pubmed:year |
2000
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pubmed:articleTitle |
Partitioning linear trends in age-adjusted rates.
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pubmed:affiliation |
Cancer Statistics Branch, Cancer Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland 20892-7352, USA. bh43a@nih.gov
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pubmed:publicationType |
Journal Article
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