Foundations of Biostatistics and Epidemiology

Explain core concepts of hypothesis testing: null hypothesis, p-value, and confidence intervals.

Interpret a simple linear regression model's coefficients and R-squared.

Interpret a logistic regression model's coefficients as log-odds and odds ratios.

Define epidemiology and distinguish between incidence and prevalence as measures of disease frequency.

Calculate and interpret measures of frequency: incidence rate, cumulative incidence, and prevalence.

Calculate and interpret measures of association: risk ratio, rate ratio, and odds ratio.

Explain the principle of maximum likelihood estimation for model fitting.