Public Health Statistics I
- 4th term
- Online Programs for Applied Learning
- 4 credits
- Academic Year:
- 2019 - 2020
Provides students with a broad overview of Biostatistical methods and concepts used in the public health sciences. Emphasizes the interpretation and conceptual foundations of statistical estimation and inference. Covers summary measures, measures of association, confidence intervals, p-values, and statistical power. The software package R is incorporated into the course learning experiences, and students will use R for a portion of each of the four class homework assignments.
- Learning Objectives:
- Calculate standard normal scores and resulting probabilities
- Suggest and interpret appropriate numerical and visual measures to summarize data for a given data type and study design
- Distinguish between variability of individual study observations and variability in sample summary measures across multiple studies of individual observations
- Calculate and interpret confidence intervals for single population measures (e.g., means, proportions, incidence rates) and for measures of association comparing two populations (e.g., differences in means, differences in proportions, relative risk, odds ratio, incidence rate ratio)
- Interpret p-values from hypothesis tests, and connect these results to the corresponding confidence intervals
- Explain the factors that determine the statistical power of a study designed to compare two or more populations
- Use the R package to create graphics (histograms and boxplots), translate normal scores into probabilities, compute sample summary statistics, create 95% confidence intervals for population based quantities, and get p-values for various hypothesis tests.
- Methods of Assessment:
Homework assignments (4): 70%; Quizzes (2): 30%.
- Enrollment Restriction:
Restricted to students enrolled in MAS in Spatial Analysis for Public Health
- Instructor Consent:
No consent required