SEMINAR ON STATISTICAL METHODS FOR MENTAL HEALTH Syllabus
Course Learning Objectives
Upon successfully completing this course, students will be able to:
- Identify the key areas of research in statistical methods for mental health,
- describe recent developments in the field, and
- critically evaluate studies in this area
Students discuss recent advances in statistical methods in mental health. Class sessions include student and faculty presentations as well as discussions of recent articles in the literature. Topics include missing data, longitudinal data analysis, causal inference, and measurement.
PhD students and post-docs from across the school.
Methods of Assessment
Grading Policy: Regular attendance and participation
Grading Restrictions: Pass and Fail
140.621-624 or 140.651-654, or consent of the instructor
Academic Ethics Code
The code, discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class:
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support Services
If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Student Life Services: firstname.lastname@example.org, 410-955-3034, or 2017 E. Monument Street.