Advanced biostatistical methods for the design and analysis with a special emphasis on applications for health sciences research. Topics include multinomial and ordinal logistic regression, Poisson and negative binomial regression, longitudinal and correlated data analysis methods (including generalized estimating equations and random-effects models), advanced survival analysis, principal component and factor analyses, and propensity score analysis. Prerequisites: SPH 619 or permission of the...
Advanced biostatistical methods for the design and analysis with a special emphasis on applications for health sciences research. Topics include multinomial and ordinal logistic regression, Poisson and negative binomial regression, longitudinal and correlated data analysis methods (including generalized estimating equations and random-effects models), advanced survival analysis, principal component and factor analyses, and propensity score analysis. Prerequisites: SPH 619 or permission of the...
