BST 222
Basics of Statistical Inference
This course will provide a basic, yet thorough introduction to the probability theory and mathematical statistics that underlie many of the commonly used techniques in public health research. Topics to be covered include probability distributions (normal, binomial, Poisson), means, variances and expected values, finite sampling distributions, parameter estimation (method of moments, maximum likelihood), confidence intervals, hypothesis testing (likelihood ratio, Wald and score tests). All…
Topics
- probability distributions (normal
- binomial
- Poisson)
- means
- variances and expected values
- finite sampling distributions
- parameter estimation (method of moments
- maximum likelihood)
- confidence intervals
- hypothesis testing (likelihood ratio
- Wald and score tests)
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings
- Catalogue entry ↗
Catalogue variants
- Basics of Statistical Inference · Harvard HSPH