Our Events

Fall 2017 Short Course

Friday, September 29th, 2017, 1:00 PM - 5:00 PM CT


The Kansas-Western Missouri Chapter of ASA and the University of Kansas Medical Center, Department of Biostatistics are co-sponsoring a short Course on September 29, 2017. This short course is open to anyone with an interest in designing experiments that will use Generalized Linear Mixed Models methods in the analysis.

Title: GLMM-Based Tools for Planning and Design of Research Studies

Presenter      :  Walter, Stroup Ph.D.

Date              :  September 29, 2017, 1:00 pm to 5:00 pm

Location        : University of Kansas, Edwards Campus (BEST Conference Center)

                       12600 Quivira Rd., Overland Park, KS  66213

Registration Fee     : $50 for ASA members, $25 for students, $75 for non-ASA members

                                Boxed lunch included in registration, limited number of vegetarian options available. There is a discount if you register by September 22nd 2017.



 Power and sample-size are important aspects of research study design. Researchers are often required to provide power analysis as part of their grant proposal submission. Statistical methods textbooks typically devote perhaps a page of two to power, usually giving a simplistic formula to compute the power for comparing two treatment means. Many software packages are available, for example SAS® PROC POWER and PROC GLMPOWER. While useful, the typical textbook presentations, and available software packages, are limited in two important ways. First, power calculation is – or should be – the last step in a planning process. Power is partly a function of sample size, but it is also a function of how sample size is deployed. Researchers – often aided and abetted by their statistical consultants – tend to focus on the former and neglect the latter. Second, many designs have an error or covariance structure that is more complex than most power and sample size software packages are able to handle. This is complicated by the fact that the response variable of primary interest is often non-Gaussian. How does one decide whether to use an incomplete block design, a complete block design, or a split-plot design when the primary response variable is a discrete count? Once the design is selected, how does one compute sample size? You can miss badly unless you use appropriate tools. This workshop presents GLMM-based tools useful for planning experiments. Precision analysis – comparing the pros and cons of competing plausible designs – as a prelude to power calculation, is emphasized. The workshop begins with a review of relevant GLMM theory and methods, and then presents several examples. Given the author’s background, examples will use tools available in SAS/STAT.

 Biographical Sketch

 Walt Stroup is a Professor in the Department of Statistics at the University of Nebraska-Lincoln. He is Fellow in the American Statistical Association, and served as department chair, 2001-2010. His current responsibilities include teaching statistical modeling, design of experiments, and research on generalized and mixed models including collaboration with researchers in agriculture, natural resources, medical and pharmaceutical sciences, education, and the behavioral sciences. He participated in a multi-state mixed model project that provided motivation for the development of MIXED procedure in SAS/STAT. More recently he participated in an industry-government-academic working group focusing on pharmaceutical shelf life, and was PI on an NSF grant concerned with statistical modeling of teaching effectiveness. He has co-authored textbooks on SAS for linear models, SAS for mixed models, and GLMM Applications for Plant and Natural Resource Sciences. Most recently, he authored the text Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (2013), and in co-authoring the 3rd edition of SAS for Mixed Models, scheduled for completion by year’s end, 2017.

Follow the link below to register :


For more information, please contact John Keighley at jkeighle@kumc.edu

Fall 2017 Chapter Meeting

Friday, September 29th, 2017, 6:00 PM - 8:30 PM CT

Please join us for our fall Chapter meeting on Friday, September 29th, 2017 at Edwards Campus - University of Kansas.  The dinner and the Chapter meeting will be held in the BEST Conference Center room after the conclusion of the Short Course GLMM-Based Tools for Planning and Design of Research Studies (Details HERE).  The directions to KU Edwards Campus and a map of the facilities are provided.  You may also visit their website at http://edwardscampus.drupal.ku.edu/campus-map  for more information.

Keynote Address:   Walter Stroup, PhD, Professor, Department of Statistics, University of Nebraska-Lincoln, Past Chair and Fellow of the ASA.


Title: From graduate student at Kentucky to “gray hair” on the Nebraska faculty: How I got from there to here and what I learned along the way.

Abstract Walt was asked to give a talk on his thoughts about both his career and the changes that have happened in statistics over his career. For the career question he was asked to talk about his career path, expectations at the time of graduation to current date. While the statistics question was what do you see in the future.


Registration for this event can be done online at https://www.123signup.com/register?id=htjhd

Please contact Pallavi Sawant at KSU (pallavirs@ksu.edu) or John Keighley (jkeighle@kumc.edu) if you have any questions.


Cost:  The cost to attend the Chapter meeting is $30.00 ($20.00 for students), and includes dinner.  Vegetarian options will be available. There is a cost reduction if you register by September 22nd 2017.


Location:             University of Kansas, Edwards Campus (BEST Conference Center)

                             12600 Quivira Rd., Overland Park, KS  66213

We look forward to seeing you at the Chapter meeting!

Chapter Meeting Agenda:          

                                            6:00 – 6:30 p.m. Social time

                                            6:30 – 7:15 p.m. Dinner

                                            7:15 – 7:30 p.m. Chapter business

                                            7:30 – 8:30 p.m. Keynote Address

For more information about the SHORT COURSE, click HERE