Home > Subjects and Departments > Graduate School of Medicine > Doctoral Course > Medical Sciences > Community Health Science > Chronoepidemiology
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Updated : October 12, 2020
Keigo Saeki(Professor)
Kenji Obayashi (Associate Professor)
To be able to conduct data analysis using community-based cohort study, and to interpret the result taken into account the study bias and confounding factors.
・Assessment of the association between variables using univariate and multivariate linear regression model, logistic regression model, and linear mixed effect model.
・Survival analysis using the Kaplan-Meier method and Cox proportional hazard model.
・Interpretation of the results based on strengths and limitations of the study design.
・Time-dependent and variability analysis for exposure.