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- Author:
-
Broman, Karl
- Subject:
- Mathematics and Statistics, Science and Technology, Social Sciences
- Institution Name:
- Johns Hopkins Bloomberg School of Public Health
- Collection:
-
JHSPH OpenCourseWare
- Grade Level:
- Post-secondary
- Abstract:
This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of two-way tables, sample size and power calculations, and a selection of the following: permutation tests, the bootstrap, survival analysis, longitudinal data analysis, nonlinear regression, and logistic regression. Introduces and employs the freely-available statistical software, R, to explore and analyze data.
- Languages:
- English
- Material Type:
- Full Course, Lecture Notes, Syllabi
- Media Format:
- Graphics/Photos, Text/HTML, Downloadable docs
- Technical Requirements:
- Adobe Acrobat
- Conditions of Use:
-
Creative Commons Attribution-Noncommercial-Share Alike 2.5
No restrictions on your remixing, redistributing, or making derivative works.
Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some
restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make
derivative works.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based
educators, or other custom arrangements. Go to the resource provider to see
their individual restrictions.
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