Western Tennessee Chapter of the American Statistical Association

05/22/2022

SAS Virtual Workshop
Working with High-dimensional Data

05/22/2022

JoshuaTebbs SeminarAnnouncement 2021

05/22/2022

Combining mediation analysis with Mendelian randomization workshop
--- Methods and Applications with Small Group Hands-on Exercises

05/22/2022

WTASA Meeting Announcement 2021

09/29/2020

08/31/2020

We are inviting you to join our seminar.

Incorporating historical information and real-world evidence to improve phase I clinical trials
Dr. Ying Yuan
Professor
The University of Texas MD Anderson Cancer Center

Date: September 15th 2020
Time: 2:00 – 3:00 PM
Zoom link: https://memphis.zoom.us/j/93129315332?pwd=cVFFWmxiZ3dldU9VTjR6KzZKampCUT09

Incorporating historical data or real-world evidence has a great potential to improve the efficiency of phase I clinical trials and to accelerate drug development. For model-based designs, such as the continuous reassessment method (CRM), this can be conveniently carried out by specifying a ``skeleton," i.e., the prior estimate of dose limiting toxicity (DLT) probability at each dose. In contrast, little work has been done to incorporate historical data or real-world evidence into model-assisted designs, such as the Bayesian optimal interval (BOIN) and keyboard designs. This has led to the misconception that model-assisted designs cannot incorporate prior information. In this paper, we propose a unified framework that allows for incorporating historical data or real-world evidence into model-assisted designs. The proposed approach uses the well-established ``skeleton" approach, combined with the concept of prior effective sample size, thus it is easy to understand and use. More importantly, our approach maintains the hallmark of model-assisted designs: simplicity---the dose escalation/de-escalation rule can be tabulated prior to the trial conduct. Extensive simulation studies show that the proposed method can effectively incorporate prior information to improve the operating characteristics of model-assisted designs, similarly, to model-based designs.

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08/29/2017

Professor Dale Bowman, our WTASA representative, submitted the 2017 Member Initiative proposal entitled “The Bring a Student to Work Day Project” and it was successfully approved. As part of this initiative, we are asking for local statisticians to volunteer to visit two of our local high schools to give brief presentations about statistics. Please contact Professor Dale Bowman ([email protected]) if you are interested in volunteering at Central High School on Friday, September 22, 2017 or White Station High School on Friday, September 29, 2017.

01/26/2017

The latest News from the World of Statistics is available
https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.worldofstatistics.org%2Ffiles%2F2017%2F01%2FWOS_newsletter_01172017.pdf&data=01%7C01%7CApril.Sykes%40STJUDE.ORG%7C2bf8f0cf4d284b32f1be08d43f20e81e%7C22340fa892264871b677d3b3e377af72%7C0&sdata=0UpIpuvIvWdTHGyEJvTI5%2BInyKi5i5QAn1Uv5s4%2F5v0%3D&reserved=0

10/28/2016

WTASA Fall Seminar Series

"Spline regression, an alternative to categorical
analysis of dose-response relationship"

Presented by Dr. Huiyun (William) Wu

Date: November 4, 2016
Time: 1-2pm
Location: University of Memphis
Dunn Hall (DH on map), Room 249
3725 Norriswood Avenue Memphis, TN 38152
Parking passes for the parking garage will be available (PG1 on map)

09/13/2016

WTASA Seminar

September 16, 2016
11:00 am
Location: St. Jude Children’s Hospital
Integrated Research Center, Room 1003 (CR-IRC 1003)

“History of Statistical Thinking in Medicine”

Presented by:

T. Timothy Chen
PhD ASA Fellow