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Department of Statistics

News and Events

2015-2016 Scholarship Recipients

A hearty congratulations to the following scholarship recipients.  More information about these scholarships can be found on our assistantship page

Audrey Chang - Ronald and Rae Iman Scholarship
Xintong Li - Holly and Beth Fryer Scholarship 
Weijia Jia - Statistics Department Scholarship
Mengjiao Wu - Howard Siepman Memorial Scholarship

 ASA Chapter Meeting

The next meeting of the Kansas-Western Missouri chapter of the American Statistical Association will be held on Thursday, October 29, at the University of Kansas - Edwards campus.  Professor Susanne May from the Department of Biostatistics at the University of Washington, Seattle will be presenting the Keynote Address The rise and fall of hypertonic saline (with sugar on top).  Professor May will also give a short course on Introduction to Clinical Trials from 9am to 5pm on the same day. 

Wei-Wen Hsu receives A&S Award

Wei-Wen Hsu is the recipient of a Arts and Sciences Faculty Enhancement Award on Statistical Classification Models for Emerging Molecular Analysis in the Early Detection of Cancer.  

Early detection of cancers is a recurring challenge in medical research. One often cited justification is that for those very aggressive cancers such as ovarian and pancreatic cancers, there are often no significant symptoms or signs at very early stages. 

Owing to the advent of nanoplatform technology, the early detection of cancers is no longer impracticable. An in-vitro assay based on the Fe/Fe3O4-based nanoplatforms developed by Bossmann/Troyer groups at Kansas State University is particularly sensitive in protease detection and is anticipated to be successfully used in the early detection of solid tumors. This assay with a very low limit of detection (LOD) can effectively capture the protease activities in blood serum during the early stages of cancer development, which can dramatically improve the ability of identifying the early stage of cancer. However, there is no methodological, comprehensive study that rigorously evaluates the performance of this in-vitro screening assay on all types of cancers. Particularly, a general statistical classification model that can enhance the signals of the protease signatures to improve the classification rate has not been proposed and discussed.

The objective of this project is to develop a statistical methodology to study and evaluate the overall performance of the rapid screening in-vitro assay in detecting cancers. If successful, the new methodology which is expected to have a higher classification rate than other existing methods will facilitate the classification of patients at early stages of cancers using the promising in-vitro assay. The work will be conducted during the 2015-2016 academic year.


Photo Galleries

Pumpkin Carving Contest, Fall 2015

Department Picnic, Fall 2015