2013 Archives: Fall 2013: Two Upcoming Chapter Events

1) Graphics with SAS Workshop October 14th, 9am-12pm Pitt campus, Crabtree A115 We will have two speakers give lectures on using the (new) graphics tools in SAS. It is not expected that attendees are experts in SAS. Beginning/intro procedures will be covered. Bring your laptops. (This is one of two expected workshops this year.) More info on the workshop can be found hereYou can register here. 2) Fall Mixer November 7th, 5:30-7:30pm Fuel & Fuddle This year’s mixer will have a Statistics Trivia contest with fabulous prizes, hosted by two of your very own chapter representatives from CMU. We’ll likely let people have teams of up to three or four, so start finding your teams and coining your pun-worthy team names!

2013 Archives: Philadelphia, April 2013: One-Day Conference on High Dimensional Statistics

From Temple University:

The Conference on High Dimensional Statistics will be held at Temple University, Philadelphia, PA, on April 12, 2013. The one day conference will include lectures by internationally prominent researchers and will be organized by themes. The aim of the conference is to bring together researchers and scientists interested in high dimensional statistics, its applications, and related areas. This includes theoretical and applied statisticians as well as scientists from other fields such as medicine, engineering, computer science and business. The conference will include participation by leading experts as well as junior researchers and graduate students. The conference will create a forum to discuss recent progress and emerging ideas in the area and encourage informal discussions among all the participants. It is anticipated that the conference will have participation from industry, academia, and research institutes.

2012 Archives: Announcing: Sponsored Short Course in Applied Mixed Models

The Pittsburgh Chapter of the ASA is sponsoring a short course in Applied Mixed Models on Monday October 8, hosted by the Biostatistics Department at the University of Pittsburgh, taught by Prof. Linda J. Young of the University of Florida. The cost is $65 for regular Chapter members, $50 for students, and $75 for non-student non-members (though this includes a Chapter membership!)

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 be 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.

More information, including a sign-up sheet, is available here. A map of the University of Pittsburgh campus is here.