This course covers all the essential concepts of biostatistics in the overall context of a Master’s program in International Public Health, including:
Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors.
Coursera Mathematical Biostatistics Bootcamp
Required Readings and Resources:
Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking
What is a p-value anyway? 34 Stories to Help You Actually Understand Statistics
Andrew J. Vickers
Supplemental Readings and Resources:
– Statistics DVD (in EUCLID Egnyte)
Upon completion of this course, the student is expected to able to:
- understand lognormal distributions
- set up testing for equivalence vs. testing for differences
- perform multiple comparisons
- test for normality and for outliers
- understand multiple, logistic, and proportional hazards regression
- explain and apply data sample issues.