Statistical Inference in Public Health

Catalog description

This course serves as an introduction to the collection, analysis, and presentation of data related to public health. Methods of exploring, organizing, and presenting data will be introduced, along with fundamentals of probability, including probability distributions and conditional probability. Students will learn the foundations of statistical inference, including concepts of population, sample parameter, and estimate; and approaches to inference using the likelihood function, confidence intervals, and hypothesis tests. The course introduces and employs the statistical computing package, Stata, to manipulate data.