Statistical Reasoning II OpenCourseWare: Johns Hopkins University's Free Online Undergraduate Level Advanced Statistics Course

Published Jan 15, 2009

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Multivariate survival analysis, study design and linear regression are just of a few of the topics that you'll learn about in 'Statistical Reasoning in Public Health - II.' This free OpenCourseWare class offered by Johns Hopkins University gives students a detailed survey of various statistical methods and their application to various issues in the public health sector. Students who completed an advanced college-level math course, are computer savvy and are currently pursuing a Bachelor of Science in Statistics, Biology, Public Health or a related degree may find this online course an effective study tool.

Statistical Reasoning in Public Health - II: Course Specifics

Degree Level Free Audio Video Downloads
Undergraduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
Yes Yes No

Statistical Reasoning in Public Health - II: Course Description

For students who have taken 'Statistical Reasoning in Public Health - I' or its equivalent, Johns Hopkins University presents 'Statistical Reasoning in Public Health - II,' an advanced level statistics course. In this lecture-based class taught by JHU professor John McGready, you'll learn more about multivariate statistical methods, clinical diagnostic testing methods and various survival analysis techniques. Theory is supplemented with examples drawn from real-life experience to make concepts more readily applicable. Course topics are presented in four modules: design study, logistic regression, linear regression and survival analysis. By downloading the lecture notes accompanying each of these modules, you'll learn about issues like study design and sample size, the Kaplan-Meier method, multiple linear and logistic regression and multivariate survival analysis. This course is intended for students who are pursuing Bachelor of Science degrees in Biostatistics, Public Health, Biology or another degree that requires a deep knowledge of statistics and its many applications. To benefit fully from this class, you should already have taken an advanced college-level math class and be comfortable learning new computer programs.

This free online course includes several components, such as a course syllabus and schedule, 11 lectures and a reading list (the readings themselves, however, are not included as part of the OpenCourseWare package). If this class sounds like its right for you, then take a look at the advanced statistics for public health course page.

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