This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.
Statistics is a thriving discipline that provides the fundamental language
of all empirical research. Biostatistics is simply the field of statistics
applied in the biomedical sciences.
This course puts forward key mathematical and statistical topics to help
students understand biostatistics at a deeper level. After completing this
course, students will have a basic level of understanding of the goals,
assumptions, benefits and negatives of probability modeling in the medical
sciences. This understanding will be invaluable when approaching new statistical
topics and will provide students with a framework and foundation for future
Topics include probability, random variables, distributions, expectations,
variances, independence, conditional probabilities, likelihood and some
basic inferences based on confidence intervals.
Developed in collaboration with
Johns Hopkins Open Education Lab.
The goal of this course is to equip biostatistics and quantitative scientists
with core applied statistical concepts and methods:
- Students will learn basic mathematical biostatistics including probability
distributions and their properties.
- Students will learn the basics of statistical likelihood.
- Students will learn the basics of confidence intervals.
- The course will introduce students to the display and communication of
statistical data. This will include graphical and exploratory data analysis
using tools like scatterplots, boxplots and the display of multivariate
Knowledge of calculus, set theory and a moderate level of mathematical
literacy are prerequisites for this class. A small amount of programming
is useful, but not required.
Methods in Biostatistics I on JHSPH OpenCourseWare
This course consists of lectures and homework assignments.
Is calculus really necessary for this class?
What resources will I need for this class?
download and install the R statistical programming language