Courses Taught by Kevin (Zhi) He

BIOSTAT699: Analysis of Biostatistical Investigations

Graduate level
Residential
Winter term(s) for residential students;
4 credit hour(s) for residential students;
Instructor(s): Menggang Yu, Jean Morrison, Kevin (Zhi) He, (Residential);
Prerequisites: Registration for last term of studies to complete MS or MPH
Description: Identifying and solving design and data analysis problems using a wide range of biostatistical methods. Written and oral reports on intermediate and final results of case studies required.
Syllabus for BIOSTAT699

Concentration Competencies that BIOSTAT699 Allows Assessment On
Department	Degree	Competency	Specific course(s) that allow assessment
BIOSTAT	MS	Interpret the results of statistical analysis in a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, economics, management and policy, nursing, or pharmacy) for the broad scientific community	BIOSTAT699
BIOSTAT	MS	Communicate statistical analysis through written scientific reporting for public health, medical, and basic scientists, and/or educated lay audiences	BIOSTAT699
BIOSTAT	PhD	Communicate through written and oral presentation based on statistical analysis for audience from a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, nursing, or pharmacy) and for the broad scientific community	BIOSTAT699

Graduate level
Residential
Summer term(s) for residential students;
1 credit hour(s) for residential students;
Instructor(s): Kevin (Zhi) He (Residential);
Prerequisites: None
Advisory Prerequisites: Introductory level courses in epidemiology and biostatistics.
Description: Course will cover regression methods for continuous, binary, and count data. The majority of epidemiologic data involve either binary or count data, and binary data often arise from underlying continuous data. Therefore, linear , logistic ,and Poisson regression analyses are important analytic approaches that provide valuable insights into data collected.

Graduate level
Residential
Summer term(s) for residential students;
1 credit hour(s) for residential students;
Instructor(s): Douglas Schaubel, Kevin (Zhi) He, (Residential);
Offered Every Summer
Prerequisites: An introductory course in (bio)statistics that covers regression is required. Familiarity with a statistical software package is helpful, but example code will be provided in labs.
Advisory Prerequisites: The mathematical level is completely accessible with knowledge of high school algebra, one semester of calculus, and a one-year course in basic statistical methods.
Description: The primary objectives of this course are to provide participants with the background required to understand commonly used survival analysis methods and to apply such methods using standard statistical software. The course material relies heavily on examples and intuitive explanations of concepts.