Please Enter a Search Term
 
FACULTY OF MEDICINE
"Building a Healthy Tomorrow"  TM
LeadershipAdmissionsStudentsEducationResearchFaculty/StaffDivision/DisciplineCommunications
Research and Graduate Studies


Graduate Studies > Programs of Study

Graduate Program in Clinical Epidemiology

The program in clinical epidemiology is aimed at

a) University graduates intending a career in health services

b) Faculty members seeking advanced training in clinical epidemiology

c) Medical doctors and other health care professionals interested in health care delivery research.  

Participants in the clinical epidemiology program develop strong clinical research skills and gain knowledge through core courses, research seminars, the completion of research projects, and the production of a thesis for the M.Sc. and Ph.D programs. 

There are three programs offered in clinical epidemiology:

Diploma in Clinical Epidemiology:  Students must successfully complete three courses -  Biostatistics (6262), Basic Clinical Epidemiology (6250), and Clinical Research Design (6255).  Attendance at scheduled epidemiology seminars (6400 and 6401) is mandatory.  There is no thesis requirement.

MSc in Clinical Epidemiology:  Required courses are 6200 or 6262, 6250, 6255, 6095 or 6265.  Attendance at scheduled epidemiology seminars (6400, 6401,6402 and 6403) is mandatory. Other courses may be taken as electives.

The MSc requires completion of an approved research project and a thesis.  The student will have contacted a supervisor before applying to the degree program and discussed a potential research question.  The supervisor will be a clinical epidemiology faculty member who has agreed to support the student's research by providing supervision, space, equipment and research funds.  The student is expected to develop a research question with clinical relevance, and to play a central role in project design, data collection and analysis.  Students cannot be admitted to the MSc degree program without a research project, a supervisor and a committee in place.

PhD in Clinical Epidemiology:  The PhD program requires students to take all courses required by the MSc, and other required electives as per their supervisor.  Attendance at scheduled epidemiology seminars (6410, 6411, 6412 and 6413) is mandatory.

The PhD requires completion of an approved research project and a thesis.  The student will have contacted a supervisor before applying to the degree program and discussed a potential research question.  The supervisor will be a clinical epidemiology faculty member (including joint and cross appointed) who has agreed to support the student's research by providing supervision, space, equipment and research funds.  The student is expected to develop a unique, clinically relevant research question, design the project, and collect and analyse the data under the mentorship of the supervisor and committee.  Students cannot be admitted to the PhD degree program without a research project, a supervisor and a committee in place. It is usual for students to be asked by their supervisor to take other courses deemed relevant to their particular research topic. These courses may be taken at a University other than Memorial University.  Upon admission to the PhD program, a student must take the comprehensive examination before the end of the seventh semester as required by the general University regulations.  The comprehensive exam will consist of both a written and an oral component.  The specific areas to be examined will be chosen by an examination committee in consultation with the student's supervisor.

In all cases, students must meet the general admission requirements for graduate students at Memorial University.  Both the MSc and the PhD degree programs may be taken on a full-time or part-time basis.  University regulations mandate that any degree must be completed within seven years.

Courses 6262 and 6250 are normally offered only in the fall semester, and 6255 and 6260 only in the winter semester.  Course 6265 is an elective course : Genetics for Clinical Epidemiology and is usually offered in the Fall term although this is flexible. Course 6095, Health Technology Assessment is also an elective offered in the winter term. Class size is capped.

Course Number

Maximum

Minimum

6250 (Basic intro)

30     

5

6255 (Res. design)

30

5

6262 (Data analysis)

25

5

6095 (HTA)

25

5

6265 (Genetics)

10

3

6200 (Biostatistics)

25

5

6400 (seminar)

50

5

 

Organising a supervisor/Research Project and Committee and points to consider

When planning any research based graduate course, the topic and supervisor is extremely important. Good research demands a lot of those who participate and students with an interest in the subject and who have a good relationship with their supervisor/committee find the whole process much easier.

So finding an appropriate supervisor and topic is important. This is true from the perspective of the student AND the supervisor.

Student perspective: Find a compatible supervisor and a project in which you have an interest. You must have the time to complete the degree.   

Supervisor perspective: Find a compatible , competent, hard working  student,  able and willing to put in the time and effort. Obtain funding, space, resources and committee faculty with content expertise.

It is difficult for students who are not already known to the Clinical Epidemiology faculty to be taken on as M..Sc or Ph.D students. This is because the relationship between teacher and student must be based upon numerous factors which cannot be sorted at distance. This is why we recommend students from external universities apply for the diploma initially and to specify in their application that they intend to transfer once a supervisor etc. has been obtained. This allows the supervisor to assess the competence of the student, and their desire to complete a higher degree. It also allows the student to assess possible supervisors and their research areas.

Deadlines for submission of complete applications:

For enrollment in the FALL semester:

Full-time OR part time  (MSc or PhD or diploma)       March 1st

For clinical RESIDENTS in St. Johns ONLY         July 31st

For enrollment in the WINTER semester:

Enrollment in the winter semester is not encouraged, but can be considered on a case by case basis. If you wish to discuss this,  please contact the admissions chair.

IMPORTANT

1.  Unless there are very exceptional circumstances, the diploma program can only accept enrollment in the Fall semester.

2. It is preferable that the MSc and PhD programs commence in the Fall semester .

Contacts within Clinical Epidemiology

Director of Clinical Epidemiology: Dr. Gerry Mugford 777- 7346 gmugford@mun.ca

Admissions Committee Chair: Dr. Kathy Hodgkinson: 777- 6819: khodgkin@mun.ca

Chair of Seminar series: Dr. Kathy Hodgkinson 777- 6819 khodgkin@mun.ca

Chair of Course 6250: Dr. Laurie Twells 777-8920 ltwells@mun.ca  

Chair of Course 6200: Dr. William Midodzi 777- 2187 William.Midodzi@med.mun.ca

Chair of Course 6262: Dr. Yildiz Yilmaz 864-8069 yyilmaz@mun.ca

Chair of Course 6255: Dr. William Midodzi 777- 2187 William.Midodzi@med.mun.ca

Chair of Course 6265: Dr. Kathy Hodgkinson 777- 6819 khodgkin@mun.ca

Chair of Course 6095: Dr. Rick Audas. 777 -7395  raudas@mun.ca

Clinical Epidemiology Participating Teaching Faculty and research interests:

 

Name

Position

Status

Clinical Specialty

Degrees held

Research interests

Rick Audas

Assistant Professor

Community Health

Cross Appointed

P/T

Community Health

PhD

Economics of health care

Brendan Barrett

Professor

P/T

Nephrology

MB,  MSc FRCPC

Clinical trials/meta analysis/ health services research/clinical epidemiology of renal disease

Mark Borgonaker

Assistant Professor

P/T

Gastroenterology

MD, MSc FRCPC

Clinical trials/meta analysis/ clinical epidemiology of gasteroenterologic disease

Joan Crane

Assistant Professor

P/T

Obstetrics and Gynecology

MD, MSc FRCPC

Clinical Trials, clinical epidemiology of obstetric issues

Bryan Curtis

Assistant Professor

P/T

Nephrology

MD MSc FRCPC

 

Mike Doyle

Clinical assistant professor in community health

Cross appointed

P/T

N/A

PhD

Applied health research and program/service delivery

Holly Etchegary

Clinical research Scientist

P/T

Social Sciences

MSc  PhD

Qualitative research methods/patient attitudes

John Fardy

Associate Professor

P/T

Gastroenterology

MD MSc FRCPC

Clinical epidemiology of inflammatory bowel disease, meta analysis

Marshall Godwin: Director:  Primary Health care research unit

Professor

Family Medicine

Cross appointed

P/T

Family Medicine

MD MSc FRCPC

Primary Care research, hypertension / care of the elderly / meta analyses

Debbie Gregory

Clinical Assistant Professoer

P/T

Nursing

MSc PhD

Clinical epidemiology, Health Service research / policy

John Harnett

Professor

P/T

Nephrology

MB BCh FRCPC

Clinical epidemiology of renal disease / ethics

Kathy Hodgkinson

Assistant Professor

F/T

Genetics

BSc MSc PhD

Genetic epidemiology of founder diseases including cardiac,  psychiatric  and hearing loss:  ethics of genetic research

Don McDonald

Vice-President NLCHI

Adjunct Professor

P/T

N/A

PhD

Observational research into population-based chronic disease and pharmcoepidemiology

William Midodzi

Assistant Professor

F/T

N/A

PhD

Statistical / analytic methodology in clinical epidemiology

Gerry Mugford

Associate Professor

Director Clinical Epidemiology

F/T

Psychology

PhD

Clinical epidemiology of infectious disease/psychotherapy and ageing

Sean Murphy

Assistant Professor

P/T

Nephrology

MD FRCPC

Clinical epidemiology of renal disease / clinical trials / analytic methods in observational studies

Patrick Parfrey

Professor

P/T

Nephrology

MD FRCPC

Clinical epidemiology of renal disease, clinical trials / genetic epidemiology / health service delivery

Proton Rahman

Associate Professor

Cross appointed

P/T

Rheumatology

MD MSc FRCPC

Genetic epidemiology, psoriatic arthritis and ankylosing spondylitis

Laurie Twells

Associate Professor

Joint appointed with Pharmacy

F/T

N/A

PhD

Clinical epidemiology of obesity, use of large datasets, analytic methods


Yildiz Yilmaz

Associate Professor

Cross appointed with Medicine

Joint appointed with Genetics
 

P/T

Statistics

MSc Stats

MSc Computer Engineering

PhD Stats