Standard syllabus
Biostatistics · Undergraduate · Statistics
Topics
Study design and data
- Observational vs experimental studies in health sciences
- Cohort, case-control, and cross-sectional designs
- Randomized controlled trials: principles and analysis
- Survival and time-to-event data (introduction)
- Handling missing data and attrition
Inference for health outcomes
- Comparing means in clinical trials: t-tests and ANOVA
- Analyzing proportions: chi-square and Fisher's exact test
- Relative risk, odds ratios, and confidence intervals
- Kaplan–Meier estimation (introduction)
- Log-rank test (introduction)
- Sample size and power for clinical studies
Regression in biostatistics
- Linear regression for continuous outcomes
- Logistic regression for binary disease outcomes
- Cox proportional hazards model (introduction)
- Confounding and adjustment in epidemiologic models
- Interaction in public-health regression models
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