Literature DB >> 7635614

Odds ratio and relative risk for cross-sectional data.

J Osborn, M S Cattaruzza.   

Abstract

Mesh：

Year:  1995        PMID： 7635614     DOI： 10.1093/ije/24.2.464

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN： 0300-5771            Impact factor:   7.196


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  9 in total

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2.  Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: what is to be done?

Authors:  M L Thompson; J E Myers; D Kriebel
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4.  Anemia and iron deficiency in school children, adolescents, and adults: a community-based study in rural Amazonia.

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Authors:  Ramal Moonesinghe; Quanhe Yang; Zefeng Zhang; Muin J Khoury
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8.  Correlates of exposure to second-hand smoke in an urban Mediterranean population.

Authors:  Jorge Twose; Anna Schiaffino; Montse García; Josep Maria Borras; Esteve Fernández
Journal:  BMC Public Health       Date:  2007-08-05       Impact factor: 3.295

9.  Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio.

Authors:  Aluísio J D Barros; Vânia N Hirakata
Journal:  BMC Med Res Methodol       Date:  2003-10-20       Impact factor: 4.615
  9 in total

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