This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ● two-way ANOVA, ● multiple linear regression, ● logistic regression, ● Poisson regression, ● log binomial and ordinal regression, ● survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ● power and sample size, and ● survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
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