SCARL VI: Mixed Effects Models

Date & Time

Wednesday, 18 May 2016
10:00 to 12:00

Location

Graduate Student Centre, 6371 Crescent Road, UBC Point Grey Campus

Offered by

Graduate Pathways to Success and SCARL

Registration Closed / Past Event

 
 

This is the sixth workshop in a 6-part statistics series. 

NOTE: Due to the large # of statistical software available, this session will not be about any specific software but, rather, the methodology behind the software.

Methods like Regression and ANOVA model the mean structure of the observed data while making specific assumptions about the variance. Mixed effects models allow us to model the variance structure of the data as well as the mean. Data that contain repeated measurements on the same statistical unit or clusters of related statistical units are examples when mixed effects models should be used.

About SCARL: The Statistical Consulting and Research Laboratory (SCARL) in the UBC Department of Statistics provides assistance in the statistical formulation of research questions, the design of experiments and sampling plans for surveys, the choice and explanation of statistical methodology, statistical computing and graphics, statistical analysis, the interpretation of findings, and more. SCARL also plays a role in continuing education on and off the UBC campus, giving seminars and workshops on statistical concepts and methodology to various departments and research groups and at teaching hospitals.

Presenter

Rick White has worked for the Statistical Consulting and Research Laboratory (SCARL) in the UBC Department of Statistics for over 20 years. For the last 8 years he has been the Managing Director of SCARL. Rick has consulted on many projects that cover a wide variety of statistically related issues, including experimental design, graphical displays of data, statistical modelling and data analysis. Through his consulting he has co-authored over 40 peer reviewed papers primarily in biostatistics and the "omics". His group is available to consult on an individual level with UBC researchers who need help with the statistical elements of their research.

Registration Information

Registration opens on Monday, May 9 at 9:00am. Priority will be given to UBC graduate students registered in the current academic session. Confirmation of registration will be sent within two working days. If you experience any difficulty using the online registration tool, please send a message to: graduate.pathways@ubc.ca

Accessibility

If you have a disability or medical condition that may affect your full participation in the event, please email graduate.pathways@ubc.ca, 604-827-4578, well in advance of the event.