online course in biostatistics

Are you confused by the many different statistical measures available? Maybe you have a good idea of what some of them are, but when it comes to using them with your data, you’re not sure how they work. Signing up for an online course in biostatistics might be just the thing for you!

This online course in biostatistics offers an introduction to biostatistics as well as decision making and data analysis in public health and biomedical sciences. Students will learn elementary concepts in biostatistics, including measures of central tendency, variability, sampling theory and hypothesis testing. This course is a prerequisite for other courses in the MS in Public Health Online program

The online certificate course in biostatistics aims to overcome the statisticians’ resistance to using statistical software in the analysis of biological practitioners. The course begins with exploratory data analysis through univariate and bivariate methods, including correlation, linear regression and multivariable regression. The basic elements of randomization and tests are also examined. In a later section of the course, participants will be taught how to plan and conduct a study, a lesson that will focus on experimental design and study design.

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online certificate course in biostatistics

Biostatistics for Medical Product Regulation at Johns Hopkins School of Public Health

This class consists of a series of lectures. Students who wish to read these lectures would benefit from having some prior knowledge of epidemiology and statistical reasoning. The course’s 12 lectures cover such topics as missing data, interim monitoring, non-inferiority specification of Delta, bridging studies and study designs. All lectures can be downloaded from the course website. Readings are also recommended.

Epidemiology and Biostatistics at Tufts University

Before taking this course, students might want to consider obtaining the recommended textbooks and looking for the listed journal articles in the course’s reading list. The goal of this course is to give students the skills needed to analyze medical literature by understanding the fields of biostatistics and epidemiology. Lecture notes and slides are available for download, and they cover such topics as observational studies, inferential statistics, regression techniques, cohort study evaluation and health determinants.

Introduction to Biostatistics at Johns Hopkins School of Public Health

Students who take this course learn about concepts and reasoning strategies in biostatistics. Lectures can be downloaded as either PDF or MP3 files. These lectures cover such topics as sampling variability, differences in means, theoretical distributions and hypothesis testing. The original campus-based course took four weeks to complete, but OCW users can complete course materials at their leisure. Practice problems along with solutions are also available via the course site.

Introduction to Biostatistics at the University of Saskatchewan

This course introduces basic statistical techniques with an emphasis on applications to health sciences and biological sciences. The course is split into two sections, both of which are downloadable from the course website. Students are taught life tables, experimental design, descriptive statistics and estimation.

Methods in Biostatistics I at Johns Hopkins School of Public Health

This course covers such subjects as statistical inference, applied probability, inference, proportions and other topics related to the field of biostatistics. The course is made up of 14 lectures, each of which can be downloaded from the class site. Lecture notes are supplemented with readings from six textbooks used in the original course. The course site also includes a page with links to outside resources that might be helpful for users working their way through the course material.

Methods in Biostatistics II at Johns Hopkins School of Public Health

Biostatistics is one of the most popular online courses right now. Thousands of students are searching for top resources to study it: best books, interesting lectures, tests and exams, etc.

Made up of 14 lectures, this second biostatics course in methods covers additional topics, such as expectation and variance, the central limit theorem, maximum likelihood estimation and continuous probability models. Assigned readings come from one textbook, and lecture notes are available on the course site. Like the previous course in biostatistics methods, OCW learners can utilize some of the resources that are provided on the course site.

Patients and Populations: Medical Decision-Making at University of Michigan

Based around case studies and diagnostic tests, this course provides a better understanding of information gathering and epidemiology. Students in this course will receive training in biostatistics and research design and will be expected to apply data to answer diagnostic questions. The course offers downloadable materials like lectures and handouts.

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