Welcome to the Risk Analysis Section
American Statistical Association 


Chair's Message:

Greetings everyone!
I am very excited to serve as the 2023 Chair for the section. The members of our section are a diverse group of theoretical and applied statisticians with interests ranging from the economy and the environment to medicine and security. You can read more about our History and Mission. This year, we will have a series of webinars in diverse areas of applications with the first one scheduled on March 9th, a planned Invited Overview Lecture under the Bernard Harris Award, and annual students paper competitions, to name a few. Hope you will find them interesting and informative! Please keep checking the website for updates on these activities and lot more.

Do reach out to me at hzhang6@memphis.edu or any other member in the Executive Committee with your comments and ideas for future initiatives!

Remember to checkout our roundtables, contributed, topic-contributed as well as invited sessions at Joint Statistical Meetings!

We hope that you enjoy reading our web page and that you will decide to join us.

Best wishes,

Hongmei Zhang

2023 Chair



2023 Bernard Harris Award Winner

The 2023 Bernard Harris Award recipient is Dr. Nilanjan Chatterjee, Bloomberg Distinguished Professor of Biostatistics and Medicine at the Johns Hopkins University Bloomberg School of Public Health and Johns Hopkins School of Medicine. His research focus is on modeling disease risk associated with genetic, lifestyle, biomarkers, and other factors, with the goal of improving disease prevention. He leads a team that consistently publishes in some of the most prestigious and high-impact journals across disciplines including statistics, genetics, and clinical medicine. Their work on breast cancer risk modeling has been widely covered by some influential media, including Time Magazine, LA Times, and NBC News. Dr. Chatterjee is the ASA Fellow with a number of prestigious awards including the recipient of the COPSS George W. Snedecor Award and Presidents' Award in 2011. In recognition of his award, Dr. Chatterjee will be giving an Introductory Overview Lecture at the 2023 Joint Statistical Meetings.

2023 Risk Analysis Section Student Paper Winners

Congratulations to the 2023 Section on Risk Analysis Student Paper Award Winners!

  • Winners:
    • Lang Zeng, Department of Biostatistics, University of Pittsburgh
    • Jingning Zhang, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
  • Honorable Mention:
    • Ronak Mehta, Department of Statistics, University of Washington
    • Xinyang Jiang, Department of Biostatistics and Data Science, The University of Texas Health Science Center

Winners will be presenting their work at this year's Joint Statistical Meetings. Thank you to Indranil Ghosh for organizing the competition and to the section members who served as reviewers.

Upcoming Events

Virtual Workshop: 

Dynamic Risk Predictions from Joint Models, with Applications in R

Dr. Dimitris Rizopoulos, Professor in Biostatistics
Erasmus University Medical Center
10am-1pm Eastern Time, March 9, 2023

Abstract: This workshop focuses on data collected in follow-up studies. Outcomes from these studies typically include longitudinally measured responses (e.g., biomarkers) and the time until an event of interest occurs (e.g., death, dropout). The aim often is to utilize the longitudinal information to predict the risk of the event. An important attribute of these predictions is that they have a time-dynamic nature, i.e., they are updated each time new longitudinal measurements are recorded. In this workshop, we will introduce the framework of joint models for longitudinal and time-to-event data and explain how it can be used to estimate and evaluate such dynamic risk predictions. We will use the R package JMbayes2 to showcase the capabilities of these models.

For more details on the session and registration info see our upcoming events page.

2023 Joint Statistical Meetings

The 2023 Joint Statistical Meetings will be August 5 - 10 in Toronto, Ontario. For more information, please visit the JSM webpage.

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