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Event Details
Applied Mixed Models
Presenter: Linda Young, Dept. of Statistics, University of Florida
Sponsors: The Philadelphia and Princeton Chapters of the American Statistical Association and an award from the American Statistical Association
Abstract: Data sets from designed experiments, sample surveys, and observational studies often contain correlated observations due to random effects and repeated measures. Mixed models can be used to accommodate the correlation structure, produce efficient estimates of means and differences between means, and provide valid estimates of standard errors. Repeated measures and longitudinal data require special attention because they involve correlated data that arise when the primary sampling units are measured repeatedly over time or under different conditions. Normal theory models for random effects and repeated measures ANOVA will b used to introduce the concept of correlated data. These models are then extended to generalized linear mixed models for the analysis of non-normal data, including binomial responses, Poisson counts, and over-dispersed count data. Methods of assessing the fit and deciding among competing models will be discussed. Accounting for spatial correlation and radial smoothing splines within mixed models will be presented and their application illustrated. The use of SAS System’s PROC GLIMMIX will be introduced as an extension of PROC MIXED and used to analyze data from pharmaceutical trials, environmental studies, educational research, and laboratory experiments.
This workshop is for those who want to learn about the theory and application of linear and generalized linear mixed models. The material is presented at an applied level, accessible to participants with training in linear statistical models and previous exposure to linear mixed models. Some experience with SAS’s PROC MIXED would be helpful.
Location: Room 116, University of Pennsylvania School of Nursing, Claire M. Fagin Hall, 418 Curie Blvd, Philadelphia PA 19104
Parking: Must be reserved in advance by purchasing a ticket above. UPenn lot #44 close to School of Nursing will be used. ( location here ). This parking garage will have signs posted stating it is for monthly parking only, but conference attendees are authorized to use this lot. The exact address is 434 Curie Blvd. and is located just north of Civic Center Blvd. The exit from I-76 (both eastbound and westbound) is Exit 346B. The I-76 westbound sign reads, "Grays Ferry Avenue and University Avenue." The I-76 eastbound sign reads, "University Avenue."
Directions by car/public transport here.
Schedule:
8:00 - 8:30 AM Breakfast: Coffee, juice, and muffins available
8:30 - 10:10 AM Fixed and Random Effects
Split plot analysis
Linear Mixed Models and Generalized Linear Mixed Models
10:30 - 12:00 PM Modeling the Covariance Structure in a Repeated Measures
Setting
12:00 - 1:00 PM Box Lunch (select choice during registration)
1:00 - 2:30 PM Accounting for Spatial Variability
2:50 - 4:00 PM More Advanced Correlation Structures
4.00 - 6.00 PM Networking / Social Gathering - open to all
If you live farther to the south, please know that Dr. Young will also be presenting this course for the Delaware/Chesapeake Bay Chapters on April 21. Go to http://www.amstat.org/education/travelingcourses/tc_amm_dc.cfm to find out more.
Where
UPenn School of Nursing
Claire M. Fagin Hall
418 Curie Blvd
Philadelphia,
PA 19104
Other Maps:
Hosted By
Philadelphia Chapter of the American Statistical Association
Local Statistics Profession chapter of the American Statistical Association.