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Clickable link to free registration for session:
https://uconn-cmr.webex.com/weblink/register/r1dff3561b7882d01f1ce2fbbeb43f92f

Please consider joining the
ASA CT Chapter

Questions? Contact kun.chen@uconn.edu








Dear Teachers, Parents, and Students,

We are happy to announce that the CT chapter of the American Statistical Association will be continuing our Annual K-12 Data Visualization Poster Competition this year.

The contest this year will be in a hybrid format. Both physical and digital submissions will be accepted. The deadline for submission is Friday, March 29, 2024. Please see the PDF information document (fact sheet, rules, application form) for dates and submission instructions.

All winning and honorable mention posters will be forwarded to the competition at the national level. We will hold an in-person awards ceremony for contest winners at the CT ASA mini-conference in mid-to-late April, exact location and date to be determined.

We publicize our contest each year largely via word-of-mouth. Please help us in promoting the contest by participating / encouraging your students to participate, and sharing this information with other classes in your school and school district.

If you have any questions or would like more information, please don't hesitate to contact us at zhou.fan@yale.edu.

Best regards,
Zhou Fan and Leying Guan
CT ASA K-12 Outreach



Competition Fact Sheet, Rules and Application Form are at this link.












Jumpstarting Your Statistical Career: From the Classroom to the Workforce at FDA

Date and Time: April 21st 1-2pm

Registration link: Click here

Description:

Are you looking for an exciting career opportunity after graduation? Consider joining the US Food and Drug Administration (FDA).

The FDA relies heavily on the expertise of statisticians to ensure the safety, efficacy, and quality of food, drugs, medical devices, and other regulated products. As a statistician at the FDA, you'll play a vital role in making evidence-based decisions that affect public health. Additionally, you’ll gain a comprehensive understanding of drug development from pre-IND to approval and post-approval, which is unparalleled in any other industry. The FDA is an excellent place for early-career statisticians who want to learn not only about your fields but also other disciplines.

Join us for the upcoming webinar hosted by the FDA Statistical Association (FDASA) to learn more about biostatistician opportunities at the FDA. This is an exclusive chance to converse with statistical leaderships at FDA, including ASA President Dr. Dionne Price, about careers in biostatistics and public health. If you’re interested in pursuing a career in these fields, this is a must-attend event that you don’t want to miss.


Zhiheng Xu, Ph.D.

Lead Mathematical Statistician Division of Biometrics IX 

Office of Biostatistics Office of Translational Science

Center for Drug Evaluation and Research (CDER)

US Food and Drug Administration

Phone: (301) 796-6094

Email: Zhiheng.Xu@fda.hhs.gov






Volunteers to Help with ASA DataFest

... at Wesleyan University in Middletown, CT for a couple of hours April 21-23, 2023. 

About 50 students from Wesleyan, Yale, UConn, Conn College, and Bentley University will form teams (2-5 students per team) to tackle a surprise, large, and complex dataset. After two days of intense data wrangling, analysis, and presentation design, each team is allowed a few minutes and no more than two slides to impress a panel of judges. Prizes are given for Best in Show, Best Visualization, and Best Use of External Data.

Undergraduate students do the work, but we are looking for consultants (graduate students, faculty, and industry professionals) to assist them. Consultants can help with technical issues, conceptual issues, or just act as sounding boards. We hope to use this as a way to help connect the data science and statistics community in Connecticut. We are looking for consultants to provide 2 (or more) hours of their time over the weekend.

Please tell us your interest and availability by signing up here. Feel free to contact Valerie Nazzaro (vnazzaro@wesleyan.edu) with any questions. All volunteers will receive a DataFest t-shirt!

If you would like to learn more about DataFest or you think your company might want to be a sponsor, please check out our blog page (datafest.blogs.wesleyan.edu). 

Take Care, 

Val 


Dear ASA CT members,

We are excited to announce the upcoming 21st ASA-CT Mini-Conference and want to make sure you are the first to know!

Date/Time: Friday, April 14, 2023

Location: The conference will be hybrid, with in-person sessions held at the Pfizer Research Site at Groton, CT and all sessions broadcast live via Zoom.

The general scientific theme of this year’s conference is on “information integration” with a diverse set of speakers to present related research topics and real-world applications. Detailed information about the program, speakers, and registration can be found on the conference website: https://asa-ct.github.io/miniconf2023/

Registration is now open through eventbrite.

Timeline/Important Dates:

Registration for In-person Participation Deadline: April 4, 2023;
Registration for Virtual Participation Deadline: April 13, 2023.


2023 CT ASA Poster Competition

Sponsored by The Connecticut Chapter of the American Statistical Association

Posters must be received by: March 31, 2023

Overview:
This year, posters may be submitted either physically or digitally. A digital submission may be a high-quality photograph of the completed poster, or prepared using computer software (for example Microsoft PowerPoint or Adobe Illustrator).

Posters will be judged in four grade categories:
  • K - 3
  • 4 - 6
  • 7 - 9
  • 10 - 12

Winners will be awarded certificates and monetary prizes. In each category, first place poster will receive $100, second place poster will receive $75, and third place poster $50. (Prizes are awarded per poster, not per individual for team entries.)

Winning and honorable mention posters will be entered into the ASA National Poster Competition. Posters may also be submitted directly to the national competition.

Full details at this link (click here ...)


High-School Faculty:
ABOUT OUR PROGRAM

Statisticians:
VOLUNTEER




ID: 91635842886
Passcode: 173054
LINK IS HERE

Please consider joining the ASA CT Chapter.

Questions? Contact ctchapterasa@gmail.com


Linkable flyer is here.


 

Registration Link

Registration Fee: $20*

*Student and postdocs can request this fee be waived

Zoom meeting link will be sent in a confirmation email after registration.

 

9:00-9:10        Opening Remarks, Priya Kohli, PhD, Associate Professor of Statistics, Assistant Chair of the Mathematics and Statistics Department, Connecticut College

9:10-9:45        U.S. Regulatory Efforts in Complex Innovative Trial Design”, John Scott, PhD, Director, Division of Biostatistics, Center for Biologics Evaluation and Research, US FDA

9:45-11:00      Complex Innovative Trial Designs to Expedite the Development of Drug Combination Therapies”, Ying Yuan, PhD, Bettyann Asche Murray Distinguished Professor & Deputy Chair, Department of Biostatistics, The University of Texas MD Anderson Cancer Center

11:00-11:15      Break

11:15-12:30      A Complex Innovative Design of Systemic Lupus erythematosus”, Tony Jiang, PhD, Director Statistical Modeling and Simulation, Center for Design and Analysis, Amgen

12:30-13:30      Lunch Break

13:30-14:15      Label-enabling dynamic borrowing with external control for OS – FDA Complex Innovative Designs Pilot Program”, Jiawen Zhu, PhD, Senior Principal Statistical Scientist, Genentech, and Herb Pang, PhD, Expert Statistical Scientist, PD Data Sciences, Genentech

14:15-14:30      Break

14:30-15:30      Hybrid control arms with electronic health record data for trials in oncology”, Katherine Tan, PhD, Senior Data Scientist, Flatiron Health

15:30-16:30      Q&A, Discussions and Closing Remarks, Yihua Zhao, PhD, Director Quantitative Sciences, Flatiron Health

Questions? Contact pkohli@conncoll.edu

 

 

John Scott, PhD, Director, Division of Biostatistics, Center for Biologics Evaluation and Research, US FDA

Title: “U.S. Regulatory Efforts in Complex Innovative Trial Design”

Abstract: Clinical trials provide gold standard evidence of drug safety and effectiveness and have been the backbone of pre-market regulatory decision-making for decades. Increasing costs and complexity of scientific questions have put a strain on the traditional clinical trial enterprise, sparking innovation in design, statistical methodologies, and logistics. In response to the demand for new clinical trial approaches and supported by Congress’ passage of the 21st Century Cures Act in 2016, the U.S. Food and Drug Administration launched a pilot program for the review of complex innovative trial designs (CID). In this talk, I will discuss the background and structure of FDA’s CID pilot program, outline relevant FDA policy on CID and adaptive designs, and describe several examples of CID proposals reviewed under the program. Finally, I will touch on next steps for FDA’s CID program and for CIDs in general.

Ying Yuan, PhD, Bettyann Asche Murray Distinguished Professor & Deputy Chair, Department of Biostatistics, The University of Texas MD Anderson Cancer Center

Title: “Complex Innovative Trial Designs to Expedite the Development of Drug Combination Therapies”

Abstract: Combining different treatment regimens provides an effective way to induce a synergistic treatment effect and overcome resistance to monotherapy. Development of combination therapy, however, is challenging due to the large number of possible combinations, and new potentially more efficacious compounds may become available any time during drug development. In this talk, I will introduce several master-protocol-based platform trial designs that allow efficient identification of effective combinations by adaptively borrowing information across combinations using Bayesian methods. The designs are highly flexible and allow adding new combinations during the course of the trial and early graduate effective combinations.

Tony Jiang, PhD, Director Statistical Modeling and Simulation, Center for Design and Analysis, Amgen

Title: “A COMPLEX INNOVATIVE DESIGN of SYSTEMIC LUPUS ERYTHEMATOSUS”

Abstract: Complex innovative designs (CID) can potentially reduce cost, shorten cycle time and increase probability of success in drug development so new medicines can be delivered to patients in a more expedited way. PDUFA VI and 21st Century Cures Act provide exciting opportunities for industry to collaborate with regulatory agencies in promoting the use of CID. In this presentation, a case study of CID of systemic lupus erythematosus accepted by the FDA CID pilot program will be described. Experiences and considerations from this case study regarding innovative design elements, rationale for the design, design evaluation through simulation, and visualization tools will be discussed.

Jiawen Zhu, PhD, Senior Principal Statistical Scientist, Genentech

Herb Pang, PhD, Expert Statistical Scientist, PD Data Sciences, Genentech

Title: “Label-enabling dynamic borrowing with external control for OS – FDA Complex Innovative Designs Pilot Program”

Abstract: In this talk, we will present a hybrid control trial design proposal in DLBCL which went through the FDA CID pilot program. The design involves both internal and external control data to support the analysis of secondary endpoint overall survival. The background, study design, method, simulation plan, discussions during the meetings and lessons learned will be shared in the talk.

Katherine Tan, PhD, Senior Data Scientist, Flatiron Health

Title: “Hybrid control arms with electronic health record data for trials in oncology

Abstract: Hybrid control arms augment the control arm of a randomized controlled trial (RCT) with external data, and aim to improve the efficiency and feasibility of trials while maintaining some randomization. Trials leveraging hybrid controls are a middle ground between full RCTs and single-arm trials with external comparators and have some qualities of each design. This talk will give an overview of hybrid-controlled trials using retrospective electronic health record (EHR)-derived external data for trials in oncology. I will give an overview of EHR-derived control arms, and analytic considerations for using EHR data as part of hybrid control arms. Then I will discuss considerations for selecting appropriate statistical borrowing methods to construct hybrid control arms. Finally, I will share some lessons learned from simulations and applications of hybrid control arms.

 


2022 CT ASA Poster Competition
View the Winners, here.
(Fact Sheet, Rules and Application Form in the PDF here.)