2017 Fall ASA Chapter Meeting
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Please join us for our fall meeting of the American Statistical Association Kansas-Western Missouri Chapter, scheduled for 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.
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Schedule of Activities 1:00 - 5:00 p.m. Short course |
Please contact Pallavi Sawant at KSU (pallavirs@ksu.edu) or John Keighley (jkeighle@kumc.edu) if you have any questions.
Get directions to KU Edwards Campus.
We look forward to seeing you at the Chapter meeting!
Keynote Address:
Presenter: 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.
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. Get directions.
Registration for this event can be done online at https://www.123signup.com/register?id=htjhd
Short Course: GLMM-Based Tools for Planning and Design of Research Studies
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.
Date and Time: 1:00PM-5:00PM on September 29, 2017
Location: University of Kansas, Edwards Campus (BEST Conference Center), 12600 Quivira Rd., Overland Park, KS 66213. Get directions.
Presenter: Walter, Stroup Ph.D.
Abstract:
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.
About the Instructor:
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.
Registration for this event is now open:
(Please note: A separate registration is required for the Short Course.)
Registration Fee: $50 for ASA members, $25 for students, $75 for non-ASA members. There is a price reduction if you register by September 22nd, 2017.
Register online at https://www.123signup.com/register?id=hqchp
Directions to Edwards Campus – University of Kansas:
12600 Quivira Rd., Overland Park, KS 66213
Free parking is available to visitors and students except for designated faculty/staff parking located on the South side of Regnier Hall marked with signage. Please refer to the campus map for more parking details located at: https://edwardscampus.ku.edu/campus-map.
From the West, via I-70 East
- From I-435, take Exit 411A to merge onto I-435 S
- Take Exit 82 for Quivira Rd and turn right
- Campus is approximately 2.5 miles South on your right
From the West, via K-10 East
- From K-10 E, merge onto I-435 E
- Take Exit 82 for Quivira Rd. and turn right
- Campus is approximately 2.5 miles South on your right
From the East, via I-470 South
- Merge onto I-435 West
- Take Exit 82 for Quivira Rd. and turn left
- Campus is approximately 2.5 miles South on your right
From the East, via I-435 South/East
- From I-435, take Exit 82 for Quivira Rd and turn left
- Campus is approximately 2.5 miles South on your right
From the South, via I-35 North
- From I-35 N, take Exit 222A for I-435 E
- Take Exit 82 for Quivira Rd. and turn right
- Campus is approximately 2.5 miles South on your right
From the North, via I-35 South
- From I-35 S, take Exit 222A for I-435 E
- Take Exit 82 for Quivira Rd. and turn right
- Campus is approximately 2.5 miles South on your right