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Study statistical methods to help answer healthcare's most challenging questions. Earn a Certificate of Achievement by completing the three-course program.
Online Medical Statistics courses offer a convenient and flexible way to enhance your knowledge or learn new Medical Statistics skills. Choose from a wide range of Medical Statistics courses offered by top universities and industry leaders tailored to various skill levels.
In this course, you will learn how to read, interpret, and critically evaluate statistics through examples from medical literature and popular press, and be able to apply it to your own real-world inquiries.
This free course is concerned with some of the statistical methods used in epidemiology and more widely in medical statistics. Section 1 introduces cohort studies in which individuals are classified according to their exposure and followed forward in time to evaluate disease outcomes. Section 2 looks at models for cohort studies.
Medical Statistics I covers the foundations of data analysis, programming in either R or SAS (students may use either program), descriptive statistics, visualizing data, study design, and measures of disease frequency and association.
Professor Kristin Sainani has introduced thousands to the use of medical statistics through this online course, with topics ranging from data description to statistical inference to specific statistical tests.
This course will give you the tools you need to analyze real data, interpret analysis results, and critically evaluate statistics in medical studies. Graph and analyze real data using either R or SAS; Interpret outputs from statistical tests including those for comparing groups, correlated observations, and non-parametric tests
Medical Statistics I covers the foundations of data analysis, programming in either R or SAS (students may use either program), descriptive statistics, visualizing data, study design, and measures of disease frequency and association.
In the process, students will learn how to read, interpret and critically evaluate statistics in medical studies. Produced by the Stanford Medicine Interactive Learning Initiatives program, the course is part of the medical school’s effort to reimagine and improve medical education through the “flipped-classroom model.”
You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media.