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

Four-day training  -  From May 23 to 26

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

$300  -  Student or postdoctoral fellow
(user of QICSS data**)

$400  -  Student or postdoctoral fellow
(from a QICSS member institution*)

$600  -  Student or postdoctoral fellow
(registered at other institutions)

$600  -  University professor and/or researcher
(from a QICSS member institution*)

$800  -  Any other category
(other institutions)

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

Registration

A minimum of 15 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, Université du Québec à Montréal and 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.