Concept and application of multilevel statistical methods to health, social science and geographical research   

Course Description

This course is designed to provide training in the concepts and application of multilevel statistical modeling. 

Eligibility

The course is open to graduate students and postdoctoral fellows as well as to professors and practicing researchers. Participants should have some knowledge of multilevel modeling OR a reasonable level of proficiency in concepts related to linear regression and variance (and a practical knowledge of a statistical package?).

Trainers 

Dr. S V Subramanian, Professor of Population Health and Geography, Harvard T.H. Chan School of Public Health.
Dr. Alexandre Lebel, Professor at the Graduate School of Land Management and Regional Planning, Laval University.

Registration fees

$250  -  Student or postdoctoral fellow
(registered at a QICSS member institution* and/or user of QICSS data**)

$400  -  Student or postdoctoral fellow
(registered at other institutions)

$500  -  University professor and/or researcher
(from a QICSS member institution* and/or user of QICSS data**)

$950  -  University professor and/or researcher
(from other institutions)

$800  -  Any other category
(user of QICSS data**)

$950  -  Any other category
(other institutions)

Registration fees must be paid by credit card. Federal and Provincial taxes are not included.

Registration

A minimum of 12 participants is required to run the workshop (maximum 20). Registered participants will be refunded if the minimum enrolment is not met.

Notes:

* QICSS’ member institutions: Université de Montréal, McGill University, Concordia University, UQAM, INRS-UCS, Université de Sherbrooke, Université Laval and le réseau de l'Université du Québec.

** QICSS users have a project to access data in one of the six QICSS laboratories or have submitted a proposal for microdata access to the SSHRC.