|Core Course Title (Semester)|
Note: Medical students are also required to take Current Topics in Public Health.
Some courses run the entire semester (example: Fall 1 and 2), others run only part of the semester (example: Spring 2), and some courses last only a few weeks. Review course details below and read the syllabus for more information.
SAS office hours are held weekly for MPHS students who may need additional instruction. Spring 2018 office hours are held Wednesdays at 12:00 – 1:00 p.m. January 24 – May 2, 2018 in the Geoffrey Rose room at the Taylor Avenue Building.
M19-601 Grant Writing: Applying Clinical and Population Health Methods
Tuesdays, from 1 p.m. to 4 p.m.
Siobhan Sutcliffe, PhD
This course provides students with the opportunity to apply methods and principles learned in previous MPHS classes to the development of a grant application. Students prepare this application on a research question of their own choosing and in the format expected for National Institutes of Health (NIH) R03, R21, or K grant applications (research plan only). Students also have the opportunity to evaluate research proposals for scientific merit.
Course note: This course is required for medical graduates but optional for medical students.
This course will introduce students to the software package SAS for use in cleaning and analyzing data. Topics covered include writing SAS programs; entering, importing and saving data; formatting and labeling data; manipulating variables and creating new ones; dealing with missing values; merging and appending datasets; and running basic descriptive statistics and making graphs. Students who receive a 90% or higher on the exam will be exempt from taking the course and will receive proficiency credit.
Course note: Students with previous SAS experience may opt out of this required class by taking the final exam on Friday, July 21st from 9-11am in the Taylor Avenue Building.
M19-502 Intermediate Clinical Epidemiology
Fall 2; Tuesdays and Thursdays 9 a.m. to 12 p.m.
B. Drake, PhD, MPH & Y. Liu, MD, PhD
The second course in the Epidemiology series, this course builds upon the basic principles and methods of epidemiology and introduces additional tools and concepts that are critical to a comprehensive study design. Topics include: risk and association; sampling strategies; interaction; confounding; adjustment; lifetables; applied causal inference; validity and reliability; social epidemiology; and approaches to data analysis. Upon exiting this course, students will be prepared to approach the study design portion of a protocol, as required by the final course in the Epidemiology series. Course activities: lectures, midterm and final exams, class participation, problem sets and papers.
Course note: M19-501 is a required prerequisite; SAS software is required for this course.
M19-511 Introductory Biostatistics for Clinical Research
Fall 1; Mondays and Wednesdays 9 a.m. to 12 p.m.
K. Trinkaus, PhD
This introductory course in biostatistics is designed for medical students, clinicians and health researchers. The course will introduce students to basic statistical concepts including hypothesis testing, probability distributions and relevant basic statistical methods. Through in-class and homework assignments, students will learn to apply statistical concepts to the medical context. Upon completion of the course, students will be able to summarize quantitative data and carry out and interpret simple data description and analyses using the SAS program. Prerequisite is M19-510 Introduction to SAS for Clinical Research or equivalent knowledge of SAS.
M19-512 Intermediate Biostatistics for Clinical Research
Fall 2; Mondays and Wednesdays 9 a.m. to 12 p.m.
Y. Yan, MD, PhD
This intermediate course is designed for medical students, clinicians and health researchers and builds on the skills developed in Introduction to Biostatistics for Clinical Research. The course will focus on more advanced statistical concepts as applied to clinical and population-based data sets, including linear and logistic regression analyses, and survival analyses. Through applied coursework, students will learn how to analyze and interpret clinical research data. Upon completion of the course, students will be able to perform statistical data analyses for regression models with continuous, categorical, and survival outcomes using the SAS program, and will be able to use these models to address their research questions. Prerequisite for the course is an introductory course in biostatistics and SAS knowledge.
M19-500 Current Topics in Public Health for Clinicians
Fall 1 and 2; Tuesdays 12 to 1 p.m.
A. King, MD, MPH, PhD
Course note: Required for medical students. Limited to MPHS degree candidates or with instructor permission. This course cannot be taken pass/fail.