Literature DB >> 1546697

Measurements, estimates, and inferences in reporting epidemiologic study results.

D A Savitz.   

Abstract

Mesh：

Year:  1992        PMID： 1546697     DOI： 10.1093/oxfordjournals.aje.a116274

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN： 0002-9262            Impact factor:   4.897


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  7 in total

1.  What's the Risk? A simple approach for estimating adjusted risk measures from nonlinear models including logistic regression.

Authors:  Lawrence C Kleinman; Edward C Norton
Journal:  Health Serv Res       Date:  2008-09-11       Impact factor: 3.402

2.  To use or not to use the odds ratio in epidemiologic analyses?

Authors:  M Nurminen
Journal:  Eur J Epidemiol       Date:  1995-08       Impact factor: 8.082

3.  Estimation of prevalence rate ratios for cross sectional data: an example in occupational epidemiology.

Authors:  J Lee; K S Chia
Journal:  Br J Ind Med       Date:  1993-09

4.  Prevalence odds ratio v prevalence ratio--a response.

Authors:  J Lee; K S Chia
Journal:  Occup Environ Med       Date:  1995-11       Impact factor: 4.402

5.  Use of the prevalence ratio v the prevalence odds ratio as a measure of risk in cross sectional studies.

Authors:  J Lee; K S Chia
Journal:  Occup Environ Med       Date:  1994-12       Impact factor: 4.402

6.  Multinomial logistic regression model to assess the levels in trans, trans-muconic acid and inferential-risk age group among benzene-exposed group.

Authors:  A Mala; B Ravichandran; S Raghavan; H R Rajmohan
Journal:  Indian J Occup Environ Med       Date:  2010-08

7.  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
  7 in total

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