Biostatistics Online Masters program at Purdue University-Main Campus

The course is designed for graduate students to build a foundation of multivariate statistical analyses, to analyze large data with multiple variables, to formulate appropriate models from different perspectives, and to correctly interpret statistical estimates. By the completion of this course, students will be able to:.

This course focuses on fundamental principles of multivariate statistical analyses in biostatistics, including multiple linear regression, multiple logistic regression, analysis of variance, and basic epidemiology concepts. The fundamental theories are applied to analyze various biomedical applications ranging from laboratory data to large-scale epidemiological data. In particular, this course focuses on multivariate statistical analyses, which involve than one variable and take into account several variables on the responses of interest. This course focuses on fundamental principles of multivariate statistical analyses in biostatistics, including multiple linear regression, multiple logistic regression, analysis of variance, and basic epidemiology concepts. The fundamental theories are applied to analyze various biomedical applications ranging from laboratory data to large-scale epidemiological data. In particular, this course focuses on multivariate statistical analyses, which involve than one variable and take into account several variables on the responses of interest. In addition, although statistical learning and machine learning are different, both learning approaches play a key role in inference and prediction. This course compares statistical learning and deep learning in the context of biostatistics. F2019 Syllabus.

IE 0 Probability and Statistics in Engineering II or equivalent basic statistics course.

Each exam will cover different content. Final exam not cumulative. Format of exams subject to change.

ProEd Minimum Computer Requirements. This course will also conduct basic operations in large-scale statistical analyses with statistical software packages (e.g. STATA). Students will have access to the packages in BME computer lab. Overall, minimal help on STATA will be provided, given that this course is intended to teach biostatistics not a package. It should be noted that STATA is a user-friendly easy-to-use statistical software package that is commonly used in clinical and biomedical research.