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Information Journal Paper

Title

Research Methods: Risk Ratio Estimation in Longitudinal Studies

Pages

  46-49

Abstract

 Longitudinal studies are very common in medical, behavioral, and interventional sciences. One measure of effect of interest in longitudinal studies is Risk ratio, naturally estimated by log-binomial regression which suffers from convergence problems. Odds ratio (OR) does not approximate Risk ratio (RR) well when the outcome is common, so alternative methods have been introduced in cohort studies with one follow-up visit. In this paper, we illustrate two simple methods: the COPY method and the Modified log-Poisson regression for RR estimation in Longitudinal data setting. Our unpublished simulation study on RR estimation in Longitudinal data setting suggests that the COPY method performs well in terms of closeness of the RR estimate and true RR (mean square error) and so we suggest this method for RR estimation in Longitudinal data setting.

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    Cite

    APA: Copy

    Talebi, Seyedeh Solmaz, MOHAMMAD, KAZEM, RASEKHI, ALIAKBAR, & MANSOURNIA, MOHAMMAD ALI. (2019). Research Methods: Risk Ratio Estimation in Longitudinal Studies. ARCHIVES OF IRANIAN MEDICINE, 22(1), 46-49. SID. https://sid.ir/paper/281766/en

    Vancouver: Copy

    Talebi Seyedeh Solmaz, MOHAMMAD KAZEM, RASEKHI ALIAKBAR, MANSOURNIA MOHAMMAD ALI. Research Methods: Risk Ratio Estimation in Longitudinal Studies. ARCHIVES OF IRANIAN MEDICINE[Internet]. 2019;22(1):46-49. Available from: https://sid.ir/paper/281766/en

    IEEE: Copy

    Seyedeh Solmaz Talebi, KAZEM MOHAMMAD, ALIAKBAR RASEKHI, and MOHAMMAD ALI MANSOURNIA, “Research Methods: Risk Ratio Estimation in Longitudinal Studies,” ARCHIVES OF IRANIAN MEDICINE, vol. 22, no. 1, pp. 46–49, 2019, [Online]. Available: https://sid.ir/paper/281766/en

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