This course is designed to provide the student with the knowledge and skills necessary to serve as a member and lead interdisciplinary groups in organizational assessment to identify systems issues and facilitate organization-wide changes in practice delivery utilizing quality improvement strategies. Course content focusses on understanding systems concepts and thinking to achieve results in complex health care delivery systems. Frameworks, approaches, and tools that foster critical thinking are examined as mechanisms to formulate vital questions, gather and assess relevant information, develop well-reasoned conclusions, test conclusions against relevant standards, compare conclusions with alternative systems of thought, and communicate effectively throughout the process.
How can epidemiologic methods be used to address challenges in substance use research and ultimately reduce the health burden related to substance use? Populations that are disproportionately affected by substance use and related health outcomes are often systematically excluded from large study samples. We must examine existing evidence and gaps in epidemiologic research in order to expand our understanding of substance use across communities.
This course will explore methodological challenges that arise in the study of substance use, substance use disorder, and related health outcomes across populations. Lectures will include both substantive and methodological components. Substantive topics of focus include social determinants of health, harm reduction, stigma, overdose prevention, and substance use treatment. A range of populations will be examined across the life course, including people who are involved in the criminal justice system, pregnant women, and sexual minorities. Methodological challenges will be presented in two units. The first unit will discuss epidemiologic issues related to internal and external validity, confounding, information bias, and selection bias in substance use research. The second unit will present analytic approaches to address specific methodological challenges, such as clustering of observations or comparing unbalanced populations. Learners will be able to describe and critique research studies that target the individual, social and/or structural levels that influence substance use across communities. They will also critically examine how substance use research findings are presented in the media. Participation in class discussion, experiential learning activities, and a final project will be used to evaluate progress towards learning objectives.
All candidates for the M.P.H. and the M.S. degrees in epidemiology are required to write a master's thesis, usually based on an original analysis of previously collected epidemiologically relevant data. Students are responsible, with assistance from faculty, for finding a dataset and two readers, one of whom must be a faculty member in the Department of Epidemiology. Students register for P9419 at least two semesters before the targeted graduation date and it is required that students obtain access to a dataset they will use for their thesis prior to the course. The course guides students through development of the master’s thesis proposal by reviewing critical elements in writing each element of a thesis, development of a study question, writing specific aims, study design and analysis.
This is the second course in a two-course series P9419-P9420 required of all candidates for the M.P.H. and M.S. in epidemiology. This course focuses on the Statistical Analysis, Results and Discussion sections of students' master's theses. Students will work closely with their first and second readers during the semester, but course instructors and teaching assistants will provide guidance on the selection and conduct of statistical analyses, and on transforming their thesis into a format appropriate for submission for publication.
This course will introduce students to the theoretical and practical aspects of applying a “causal roadmap” to research questions in epidemiology using both single timepoint and longitudinal data. A causal roadmap approach to empirical investigation is intended to strengthen transparency and clarity in the research process and typically consists of several steps including: 1) formulating a research question, 2) translating it into a causal quantity, 3) listing the assumptions required to identify this causal quantity from the data, 4) choosing an estimation approach, and 5) doing the analysis. We will learn single timepoint and longitudinal g-computation/ standardization, inverse-probability-of-treatment weighting (IPTW), and doubly robust estimation approaches (e.g., targeted minimum loss-based estimation (TMLE)). The final class will include integrating machine learning into the estimation approach. Each module will include hands-on exercises in R in which we will apply the estimation approaches to data. Data for each analysis exercise will be provided by the instructor. For the final project, students can choose to use data provided by the instructor or data for which they already have access.
This course provides instruction in the preparation of grant applications for the National Institute of Health (NIH) or other granting agencies, with a special emphasis on F31 and R36 grant applications. Students will participate in instructional lectures, learning the foundations of grant writing and how to craft the specific sections of an NIH-style proposal, and discussions. This course is intended for all PhD students in Epidemiology, as it helps them with grant application experience This course is also intended to provide a forum for 2nd year PhD students to begin to formulate and develop a research question that becomes the basis for their Foundation Essay, dissertation, and a proposal they can submit for NIH funding.
Primarily for fellows in the Psychiatric Epidemiology Training Program. Presentation and discussion of ongoing faculty and fellow research, plus guest speakers. Designed to provide constructive criticism of research in progress and to make fellows aware of current issues in psychiatric epidemiology.
The focus of this class will be on providing students with the knowledge, experience, and resources needed to select and apply advanced epidemiologic techniques. Core techniques have been selected based on their current and potential future use in the field of epidemiology.The course will be organized into four modules, each organized around a specific technique in relation to available alternatives for (1) working with missing data, (2) tackling non-linear trends, (3) placing non-independent observations in context, and (4) strengthening causal inference from observational data. This course is limited to Epi doctoral students only.
Independent research with individual faculty. Tailored to the particular interests and needs of the individual student. May include literature review, research projects, or other special studies that enrich the student’s program.
Neurological disease epidemiology is the study of the distribution and determinants of these diseases in human populations; it poses a set of novel challenges given the complex nature of the underlying organ. What are these challenges and what issues set this branch of epidemiology apart from others? The purpose of this class is to introduce students to the core principles of neuroepidemiology. The class will be strongly grounded in clinical neurology. Highlighted are a number of diverse disorders, including Alzheimer's disease, cerebrovascular disease, Parkinson's disease, essential tremor and epilepsy, many of which are exclusive to humans. The epidemiology of these disorders will be the focus of a series of lectures. During the semester, we will also explore disease clusters, socio-medical aspects of these diseases, and interventional studies that attempt to alter their course.
This elective course in the Department of Epidemiology is intended for MS and MPH students. In the past, we have had a mixed audience of graduate students in epidemiology and other departments in the Mailman School of Public Health as well as medical students and physicians who are pursuing epidemiological training. This blend of students leads to a rich and varied discussion. Our overarching goal is to open a world for students, expose them to a new body of knowledge, and get them to think about a series of thorny epidemiological issues. More specifically, students will gain a thorough understanding of the normal and abnormal workings of the brain and be able to identify and explain how the clinical expression of the latter creates an interesting and often distinctive set of challenges for epidemiologists as they attempt to screen for, diagnose and study the determinants of these uniquely human diseases.
This course is organized as a writing seminar/workshop focused on practical writing and oral presentation skills. Students will identify for themselves an empirically-based manuscript or in-depth literature review on which they will work throughout the semester. Specific portions of the writing project will be completed on a regular basis and will be reviewed and critiqued by fellow students and the instructor. Students also will write a draft Specific Aims for a research proposal related to their manuscript topic and make an oral presentation based on the manuscript. Didactic presentations and discussions will focus on the structure of manuscripts, presentations, and grants; writing and presentation challenges and strategies to address them; and other aspects of manuscript preparation (e.g., choosing a journal). Limited to 1st year Epi Doctoral students.
This course is designed as an advanced seminar/workshop for 2nd year master’s students in epidemiology who are seeking to strengthen their critical thinking skills and hone their abilities to effectively communicate public health content to varied audiences, for varied purposes, through scientific writing and oral communication. This course will provide practical experiences that reinforce core epidemiology skills, including data interpretation, data synthesis, and critical analysis of epidemiologic research, with an emphasis on logic and reasoning, scientific argumentation, and effective communication. By the end of the course, students will be able to develop well-reasoned arguments that can be supported by existing epidemiology evidence, synthesize extant epidemiologic literature and draw conclusions about current gaps in knowledge and/or barriers to advancing the field, and design presentations and visuals aids for disseminating public health content to specific audiences. Didactic lectures/presentations and course discussions will focus on identifying and appropriately citing scientific sources; making logical scientific arguments; effective argumentation; effective writing and oral presentation skills development/enhancement; identifying challenges to effective written and oral communication and strategies to address them; skills development in the peer-review process, and tailoring scientific presentations to various types of audiences and for various purposes. Students will be required to actively participate in course activities (online and in-person) and will be evaluated on the progress made on a semester's long project (on their topic of choice), which will culminate in a portfolio of deliverables.
Doctoral candidates are required to make an original investigation of a problem in biomedical engineering, the results of which are presented in the dissertation.
All doctoral students are required to attend the department seminar as long as they are in residence. No degree credit is granted.
The Portfolio Presentation Workshop
is a culminating course that enables students to synthesize and showcase what they have learned throughout the Executive MPA program. Students develop and present an individual project focused on improving an organization, launching a new initiative, or conducting a case study of a significant policy or management issue. Each student draws upon prior coursework, professional experience, and new research to produce a final written report and two structured presentations.
The course emphasizes reflective practice, peer feedback, and real-world application. Students are required to submit a project proposal, assess prior work products, and present findings to their instructor and classmates. Final deliverables demonstrate the student’s ability to apply strategic, analytical, and leadership tools in a way that advances organizational goals and prepares them for future professional growth.
All doctoral students are required to complete successfully four semesters of the mechanical engineering seminar MECE E9500.
Using the format of a research seminar highlighting research “challenges” of the DNSc faculty , this course is designed to strengthen the student’s ability to integrate and synthesize knowledge in statistics and nursing research methodologies, and to apply this integrated knowledge to common problems in study design and data analysis.