Courses Taught by Jean Morrison

BIOSTAT699: Analysis of Biostatistical Investigations

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 4 credit hour(s) for residential students;
  • Instructor(s): Taylor, Jeremy Morrison, Jean Boonstra, Philip (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 Program Degree Competency Specific course(s) that allow assessment
BIOSTAT MPH Interpret the results of statistical analysis to public health audience BIOSTAT699
BIOSTAT MPH Write scientific reports based on statistical analysis for effective collaboration with public health related scientists in epidemiology, health management and policy, environmental health sciences, nutrition, and health behavior and health education BIOSTAT699
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

BIOSTAT800: Seminar in Biostatistics

  • Graduate level
  • Residential
  • Fall, Winter term(s) for residential students;
  • 0.5 credit hour(s) for residential students;
  • Instructor(s): Morrison, Jean Dempsey, Walter (Residential);
  • Prerequisites: Graduate level Biostatistics students only
  • Description: Presentations and discussions of current consulting and research problems. Enrollment limited to biostatistics majors. Students must attend 2/3 of all seminars offered during the semester to receive credit. Maximum credit is 0.5 per semester. No more than 1 credit total allowed. May only be taken a maximum of 2 semesters.

BIOSTAT881: Topics In Advanced Causal Inference

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Morrison, Jean (Residential);
  • Prerequisites: BIOSTAT 601, BIOSTAT 602, BIOSTAT 650, BIOSTAT 651, BIOSTAT 653, BIOSTAT 801, and BIOSTAT 802 (concurrent also accepted).
  • Description: This course covers statistical theory and methodology for drawing causal conclusions from observational and experimental data. We will cover theoretical foundations including DAGs and SEMs, followed by special topics, which may include instrumental variable analysis, causal inference in high dimensions, and causal inference with longitudinal data.
  • Learning Objectives: At the end of the course the students will be able to: 1. Translate a scientific question into a causal contrast to be estimated. 2. Derive graphical models for investigating the conditions under which the causal contrasts of interest are identified from data collected under specific study designs. 3. Formulate adequate structural models for making inference about the causal contrasts of interest. 4. Implement simulations appropriate for investigating the properties of causal estimators.
  • Syllabus for BIOSTAT881