Quick Links

Courses & Timetables

May Session:

May 5 to May 30, 2014 (no classes Monday, May 19 - Victoria Day)

Timetable: eboh_summer_2014-may.pdf

Courses

EPIB 507-002 Biostatistics for Health Professionals

olli [dot] miettinen@mcgill [dot] ca [at] mcgill [dot] ca (Dr. O. Miettinen)

In the summer program of 2014, EPIB 507, in May, together with EPIB 591, in June, will constitute a continuum, both of them directed not to health scientists but to health professionals, to their concern to understand, on an introductory level, the statistical aspects of reports on research relevant to practitioners in their respective professions. The central importance of regression models in research directed to the concerns of such practitioners will be introduced in the first one of these two courses, and understanding of the regression framework of such research will be deepened in the second one. For the first one of these two courses there is no expectation of any particular background in mathematics or statistics, but the first course is a prerequisite for the second one. 

Restriction: The course is directed only to tudents registered in Occupational Health, Dentistry, Rehabilitation Sciences, Human Nutrition, Experimental Medicine-Family Medicine Option, Medical Residents, and Clinical Fellows.

Prerequisite: Permission of instructor for students not listed in the restrictions above.

NOTES: Medical Residents and Clinical Fellows can register for this course only during the Summer term.

Course not opened to students registered in the Epidemiology and Biostatistics programs.

May 5 to 30 - no classes Monday, May 19th
Monday/Wednesday/Friday
12h00 to 16h15
Location: Education 624

Academic Credits: 3

EPIB 600-001 Clinical Epidemiology - CLASS FULL

nitika [dot] pai [at] mcgill [dot] ca (Dr. N. Pai) / kaberi [dot] dasgupta [at] mcgill [dot] ca (Dr. K. Dasgupta)

The general objective of this 3-credit course is to provide students with a basic understanding of the methods of epidemiology, as applied to clinical research. Issues to be addressed include measurement issues, study design, analysis, and inference in the clinical research setting. Students will have the opportunity to apply these concepts to their own areas of interest.

All students should have a strong clinical background in medicine or an allied health profession. Preference will be given to residents and fellows enrolled in postgraduate medical training programs at McGill University. Previous course work in epidemiology or research experience is not required.

May 5 to 30 - no classes Monday, May 19th
Monday/Wednesday/Friday
09h00 to 12h15
Location: Education 627

Academic credits: 3

EPIB-619: Systematic Reviews and Meta-analyses - CLASS FULL

madhukar [dot] pai [at] mcgill [dot] ca (Dr. M. Pai) / kristian [dot] filion [at] mcgill [dot] ca (Dr. K. Filion)

Systematic reviews and meta-analyses are critical for evidence-based clinical and public health practice. The widespread and growing application of systematic reviews to synthesize evidence on key research and clinical questions makes it useful for most health professionals to be able to understand and critique this research design. This course will provide a detailed description of the systematic review process, discuss the strengths and limitations of the method, and provide step-by-step guidance on how to actually perform a systematic review. Specific topics to be covered (and emphasized through numerous examples from the medical literature) include: formulation of the review question, searching of literature, quality assessment of studies, data extraction, meta-analytic methods, and report writing. The course will also cover statistical issues such as selection of a proper statistical model for meta-analysis, including problem sets with practical examples of fixed and random effects models as well as examples of methods to evaluate heterogeneity and publication bias; graphical and tabular templates for the presentation of data from a meta-analysis. Several software packages (e.g. STATA) will be discussed, along with tutorials on how to effectively use tools such as PubMed and EndNote for conducting systematic reviews. This course will feature Dr Robert Platt as guest faculty who will discuss specific biostatistical issues relevant to meta-analysis.

Instructor's permission required for students NOT registered in the Epidemiology program.

Prerequisites: Introductory level training in epidemiology and biostatistics.

May 5 to 16
Monday to Friday
13h00 to 16h00
Leacock Building, RM 212

Academic credits: 2

EPIB-631 PE II: Intermediate Pharmacoepidemiology - CLASS FULL

kristian [dot] filion [at] mcgill [dot] ca (Dr. K. Filion) / laurent [dot] azoulay [at] mcgill [dot] ca (Dr. L. Azoulay)

This course will build on the basic principles of pharmacoepidemiology from the introductory course and introduce more advanced theoretical concepts. The course will address both methodological and practical issues in pharmacoepidemiology by examining current publications and controversies in pharmacoepidemiology. General topics will include: an appreciation of the different perspectives and data sources used in pharmacoepidemiology as well as the role of pharmacoepidemiology in drug approval and particularly in post marketing review of drug safety. Methodological issues will consider selection bias, information bias, confounding and interpretation bias. Recent techniques to address some of these issues including instrumental variables, propensity scores and the role of meta-analysis for the sometimes diverse pharmacoepidemiology observational studies will be discussed. The strengths and weakness of the various study designs will be emphasized. Special topics will also include the ethical and legal implications of pharmacoepidemiology. The focus of the course and the choice of studies should be on interest to both consumers and producers of the pharmacoepidemiology literature including clinicians, regulators, public health professionals and industry.

Prerequisites: EPIB-633 or permission of instructor

May 12 to 15
Monday to Thursday
09h00 to 17h00
Purvis Hall, RM 25

Academic Credits: 2

EPIB-633 PE I: Introduction to Pharmacoepidemiology - CLASS FULL

linda [dot] levesque [at] queensu [dot] ca (Dr. L. Lévesque)

This course is designed to introduce concepts and principles of pharmacoepidemiology in the context of drug evaluation and therapeutic decision-making. Topics to be covered include history of pharmacoepidemiology, choice of study design, sources of bias and their prevention and control, the importance of prescribing and drug taking behaviours, sources and use of exposure and outcome data, assessing causality, and measures of association. Examples will be drawn from published phar­macoepidemiologic studies. Special topics will include principles of clinical pharmacology relevant to pharmacoepidemiology and approaches to pharmacovigilance. Participants will have an opportunity to design and critique a study that addresses a current therapeutic controversy.

May 5 to 9
Monday to Friday
09h00 to 17h00
Purvis Hall, RM 25

Academic Credits: 2

EPIB-643 Clinical Trials
Substantive Epidemiology 3

tkoutsavlis [at] shire [dot] com (Dr. T. Koutsavlis)

This course is designed to provide an overview of issues and approaches to the design and analysis of randomized clinical trials. Topics to be considered include specification of a primary question, adherence to ethical guidelines, reasons for and means of implementing randomization, consideration of design alternatives, sample size determination, subject recruitment, analytic strategies and trial reporting. The course provides an alternative to students who are unable to pursue a more in depth treatment of clinical trials provided in the 3 credit course offered during the regular academic year.

May 8 to 29
Thursday
13h00 to 16h15
Purvis Hall, RM 48

Academic Credit: 1

EPIB-645 Introduction to Health Informatics - NEW COURSE
Substantive Epidemiology 5

christian [dot] rochefort [at] mcgill [dot] ca (Dr. C. Rochefort)

This course provides a broad introduction to health informatics, the field concerned with the application of information and communication technologies (ICT) for the acquisition, storage, management, and use of information in health care. The course provides an overview of current developments in health informatics in Canada and abroad, discusses issues and challenges associated with this emerging field, and covers various underlying themes, including proper use of information technology, appropriate data entry, data privacy concerns, decision support, evidence-based medicine, electronic health record, among others. Ethical issues related to information management will also be introduced.

Pre-requisites: This course is offered to graduate students, and practicing healthcare providers. Participants are not expected to have extensive knowledge of health informatics or computer science. Knowledge of healthcare and of the health care system would be an asset.

May 20 to 29
Tuesday and Thursday
9h00 to 12h15
Purvis Hall, RM 25

Academic Credit: 1

EPIB-654 PE IV: Pharmacoeconomics

jaime [dot] caro [at] mcgill [dot] ca (Dr. J. Caro)

The assessment of pharmaceuticals has expanded beyond efficacy and safety to cover their economic implications and other consequences. This course provides a detailed introduction to the key concepts of this field, including those providing the foundation for the new Economic Evalaution Guidelines of IQWiG in Germany. After defining the basic economic problem, study types (cost-benefit, cost-utility, cost-effectiveness) and corresponding decision rules are examined. An example is presented in detail to demonstrate how simulation models are developed and the advantages of using discrete event simulation instead of Markov models or decision trees. Students are shown approaches to populating the models – the determination of costs and parameterization of effectiveness – and how to analyze the model results, including how to deal with all levels of uncertainty. The course presents techniques for presentation of results to decision makers in the public and private health care systems, including the efficiency frontier approach.

May 26 to 29
Monday to Thursday
09h00 to 17h00
Purvis Hall, RM 24

Academic Credits: 2

EPIB-661 PE III: Advanced Pharmacoepidemiology - CLASS FULL

samy [dot] suissa [at] mcgill [dot] ca (Dr. S. Suissa) / pierre [dot] ernst [at] mcgill [dot] ca (Dr. P. Ernst)

This course is designed to develop skills necessary in the critical appraisal of pharmacoepidemiological studies with a particular focus on more recent methodological issues with advanced forms of design, analysis, interpretation of results, and limitations. Elements of the critical appraisal will be addressed through a review of several published pharmacoepidemiologic studies. The topics covered include ecological studies, exposure measures, confounding by indication, drug channeling, designs and analysis issues for cohort, case-control and nested case-control studies as well as the within-subject designs such as prescription sequence analysis, case-crossover and case-time-control studies, including situations with repeated event outcomes and time-risk functions. The course will also address methodological aspects of computerized databases used in pharmacoepidemiology.

Prerequisites: EPIB-631 or permission of the instructor

May 20 to 23
Tuesday to Friday
09h00 to 17h00
Purvis Hall, RM 24

Academic Credits: 2

EPIB-672 Estimating the Causal Effects of Social Policy on Health - Not offered in Summer 2014
Special Topics 5

This course will cover methods for estimating the effects of policies on health outcomes. We will define causal policy effects within the potential outcomes framework and contrast methods for describing the association between a policy and health outcome with methods for estimating causal policy effects. Students will learn to define policy-relevant research questions based on specific causal contrasts. We will review analytical strategies for estimating causal policy effects, including fixed effects regressions and synthetic control methods, as well as difference-in-differences and regression discontinuity designs.

Prerequisite: EPIB-603 and EPIB-607 or equivalent or permission of the instructor.

Academic Credit: 2


June Session:

June 2 to June 27, 2014 (no classes Monday, June 23 & Tuesday, June 24 – St-Jean-Baptiste week-end)

Timetable: eboh_summer_2014-june.pdf

Courses

BIOS-697 Intro to Statistical Genetic/Genetic Epidemiology - NEW COURSE
Special Topics in Biostatistics 7

aurelie [dot] labbe [at] mcgill [dot] ca (Dr. A. Labbe)

The goal of the course is to introduce students to the basic concepts and models in modern genetic epidemiology/statistical genetics. It will cover state-of-the-art statistical genetics methods for detection of genetic loci for complex traits, either qualitative or quantitative. Each assignment will include hands-on computer exercises using statistical genetics computer programs. We will cover the general theory behind the methods as well as emphasize the practical aspects needed to interpret the results. This course is designed for Msc and PhD students in biostatistics, statistics  or epidemiology.

June 4 to 27
Wednesday and Friday
10h00 to 13h00
Purvis Hall, RM 24

Academic Credit: 2

EPIB 507 Biostatistics for Health Professionals

elham [dot] rahme [at] mcgill [dot] ca (Dr. E. Rahme)

Basic principles of statistical inference applicable to clinical, epidemiologic, and other health research. Topics include: methods of describing data, statistical inference for means, statistical inference for proportions, non-parametric statistics, correlation and introduction to linear regression.

Restriction: Restricted to students registered in Occupational Health, Dentistry, Rehabilitation Sciences, Human Nutrition, Experimental Medicine-Family Medicine Option, Medical Residents, and Clinical Fellows.

Prerequisite: Permission of instructor for students not listed in the restrictions above.

NOTES: Medical Residents and Clinical Fellows can register for this course only during the Summer term.

Course not opened to students registered in the Epidemiology and Biostatistics programs.

June 2 to 27 - no classes Monday, June 23rd
Monday/Wednesday/Friday
12h00 to 16h15
Location: Education 624

Academic Credits: 3

EPIB-591 Regression Analysis for Health Professionals
(Special Topics in Epidemiology)

olli [dot] miettinen [at] mcgill [dot] ca (Dr. O. Miettinen)

For description of the course, please refer to May Session - Course EPIB 507.

Prerequisite:  EPIB 507 in May 2014. Course not open to students registered in the Epidemiology or Biostatistics program.

June 2 to 27 - no classes Monday, June 23rd
Monday/Wednesday/Friday
09h00 to 12h15
Location: Education 624

Academic Credit: 1

EPIB 600-002 Clinical Epidemiology

sasha [dot] bernatsky [at] mcgill [dot] ca (Dr. S. Bernatsky) / maida [dot] sewitch [at] mcgill [dot] ca (Dr. M. Sewitch)

The general objective of this 3-credit course is to provide students with a basic understanding of the methods of epidemiology, as applied to clinical research. Issues to be addressed include measurement issues, study design, analysis, and inference in the clinical research setting. Students will have the opportunity to apply these concepts to their own areas of interest.

All students should have a strong clinical background in medicine or an allied health profession. Preference will be given to residents and fellows enrolled in postgraduate medical training programs at McGill University. Previous course work in epidemiology or research experience is not required.

June 2 to 27 - no classes Monday, June 23rd
Monday/Wednesday/Friday
09h00 to 12h15
Location: Education 627

Academic credits: 3

EPIB-636 Reproductive Epidemiology

olga [dot] basso [at] mcgill [dot] ca (Dr. O. Basso)

This course will provide an overview of reproductive epidemiology, as well as introduce basic concepts and principles for this area of research. The focus will be on methodological issues related to studying repeated pregnancy outcomes, infertility, fetal loss, neonatal mortality, birth weight and gestational age. The course will also provide students with tools for critical reading of scientific articles in this field.

June 2 to 13
Monday to Friday
13h30 to 16h30
Purvis Hall, RM 24

Academic Credits: 2

EPIB-644 Introduction to Public Health Surveillance
Special Topics 4

arnaud [dot] chiolero [at] chuv [dot] ch (Dr. A. Chiolero)

Public health surveillance is the ongoing systematic collection, analysis, and interpretation of data, closely integrated with the timely dissemination of these data to those responsible for preventing and controlling disease and injury.  The goal of this course is 1) to define public health surveillance and its purposes, 2) to describe the characteristics of a surveillance system and data sources used for surveillance activities, 3) to appraise the utility of health indicators for public health surveillance, and 4) to understand some issues with the analyses of surveillance data.  The emphasis will be on the surveillance of chronic diseases.
Reference: Lee LM, Thacker SB, St. Louis ME, Teutsch SM. Principles and Practice of Public Health Surveillance. 2010, 3rd edition, Oxford University Press USA

 Arnaud Chiolero MD PhD is an epidemiologist, senior lecturer (Privat-docent) at the Institute of Social and Preventive Medicine (IUMSP; www.iumsp.ch) of Lausanne University Hospital (www.chuv.ch), Switzerland, and chief physician at the Observatoire valaisan de la santé (www.ovs.ch) of Sion, Switzerland.

June 16 to 19
Monday to Thursday
09h00 to 12h15
Location: Purvis Hall 24

Academic Credits: 1

EPIB-660 Practical Aspects of Protocol Development - Not offered in Summer 2014

This course is designed to give students working in pairs or groups the opportunity to develop, under guidance and criticism from instructors and fellow students, a protocol addressing a research question in their field of interest. Emphasis will be on the process of refining a research question and identifying the essential elements of a research protocol. Students will be briefed on how to prepare for a statistical consultation. Statistical and ethical consultations on all protocols will be provided in class. Course evaluation will be based on assignments, presentations and the completed protocol. Students may bring a protocol at any stage of development to class and those without a protocol may team up with those who have one. Selected protocols will form the course content.

Suggested background courses: EPIB-601 and EPIB-607 or equivalent, or permission of the instructor.

Academic Credits: 3

EPIB-670 Introduction to Health Technology Assessment
Special Topics 3

nandini [dot] dendukuri [at] mcgill [dot] ca (Dr. N. Dendukuri)

Modern technologies have been responsible for great advances in health-care delivery over the last century. However, increased reliance on these technologies has been an important contributor to rising health-care costs. This has led to an interest in evidence-based decision-making to support the induction of technologies into routine practice and evaluation of existing technologies. Health Technology Assessment (HTA) is a multi-disciplinary field that uses methods from Epidemiology, Biostatistics and Health Economics to summarize evidence from research studies in a form useful to policy makers.

This short course will introduce students to some of the basic concepts in health technology assessment - the need for HTA, producers of HTA, components of a HTA (systematic reviews, meta-analysis, cost-effectiveness analysis) and the impact of HTA.

Prerequisites: Exposure to introductory level courses in Epidemiology and Biostatistics, preferably EPIB-601 and EPIB-607 or their equivalent.

June 9 to 12
Monday to Thursday
09h00 to 17h00
Purvis Hall, Rm 25

Academic Credit: 2

EPIB-671 Cancer Epidemiology and Prevention

eduardo [dot] franco [at] mcgill [dot] ca (Dr. E.L. Franco)

The course will explore the common epidemiologic approaches to studying etiologic relations in carcinogenesis and for assessing the efficacy of cancer prevention interventions. Emphasis will be given on both molecular and social epidemiology domains with examples of different study designs and data analysis methods and of the impact of measurement error and other biases.

Prerequisite: EPIB-601 or equivalent or permission of the instructor.

June 9 to 16
Monday/Wednesday/Friday
13h00 to 17h00
Gerald Bronfman Centre, 546 Pine Ave West, Seminar Room

Academic Credit: 2

EPIB-701 Ph.D. Comprehensive Exam

claire [dot] infante-rivard [at] mcgill [dot] ca (Dr. C. Infante-Rivard)

The comprehensive examination is a written examination. The objective is to assess the degree to which doctoral students have been able to assimilate and apply the principles of epidemiologic research. Examination held yearly.

[Course Secure Webpage]

June 3, 2014
Tuesday
08h45 to 16h00
Leacock 212 Computer Lab

Academic Credits: 0