Literature DB >> 7849870

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

J Lee, K S Chia.   

Abstract

Mesh：

Year:  1994        PMID： 7849870      PMCID： PMC1128127          DOI： 10.1136/oem.51.12.841

Source DB:  PubMed          Journal:  Occup Environ Med        ISSN： 1351-0711            Impact factor:   4.402


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  5 in total

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

Authors:  D A Savitz
Journal:  Am J Epidemiol       Date:  1992-02-01       Impact factor: 4.897

2.  Prevalence odds ratio v prevalence ratio.

Authors:  U Strömberg
Journal:  Occup Environ Med       Date:  1994-02       Impact factor: 4.402

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.  Exact confidence interval of the SMR based on prevalence data.

Authors:  J Lee
Journal:  Int J Epidemiol       Date:  1994-04       Impact factor: 7.196

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

Authors:  O Axelson; M Fredriksson; K Ekberg
Journal:  Occup Environ Med       Date:  1994-08       Impact factor: 4.402
  5 in total
  6 in total

1.  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
Journal:  Occup Environ Med       Date:  1998-04       Impact factor: 4.402

2.  Frailty, gaps in care coordination, and preventable adverse events.

Authors:  Oluwasegun P Akinyelure; Calvin L Colvin; Madeline R Sterling; Monika M Safford; Paul Muntner; Lisandro D Colantonio; Lisa M Kern
Journal:  BMC Geriatr       Date:  2022-06-02       Impact factor: 4.070

3.  Prevalence odds ratio versus prevalence ratio: choice comes with consequences.

Authors:  Ashutosh R Tamhane; Andrew O Westfall; Greer A Burkholder; Gary R Cutter
Journal:  Stat Med       Date:  2016-07-26       Impact factor: 2.373

4.  Measures and models for causal inference in cross-sectional studies: arguments for the appropriateness of the prevalence odds ratio and related logistic regression.

Authors:  Michael E Reichenheim; Evandro S F Coutinho
Journal:  BMC Med Res Methodol       Date:  2010-07-15       Impact factor: 4.615

5.  Work-related physical and psychosocial risk factors for sick leave in patients with neck or upper extremity complaints.

Authors:  Sandra D M Bot; Caroline B Terwee; Daniëlle A W M van der Windt; Allard J van der Beek; Lex M Bouter; Joost Dekker
Journal:  Int Arch Occup Environ Health       Date:  2007-04-05       Impact factor: 3.015

6.  Associations Between Screen Exposure in Early Life and Myopia amongst Chinese Preschoolers.

Authors:  Gui-You Yang; Li-Hua Huang; Katrina L Schmid; Chen-Guang Li; Jing-Yi Chen; Guan-Hao He; Li Liu; Zeng-Liang Ruan; Wei-Qing Chen
Journal:  Int J Environ Res Public Health       Date:  2020-02-07       Impact factor: 3.390
  6 in total

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