The 7th Stat4Onc Annual Symposium is seeking abstract submissions. Topics related to or interface with biostatistics and oncology are welcome. We encourage researchers, in particular young researchers and trainees in academia, industry and government to submit the title and one-page abstract of the posters for review. Posters should depict scientific research projects with relevant data. Three abstracts will be selected for a lightning round of oral presentations at the conference. (Industry applicants are not eligible for oral presentations). Registration fees of the selected oral presentations will be refunded for one presenter per poster.
Registration: You can submit your abstract without being registered. However, the presenting author must be registered at the time of the conference to present their work.
Abstract limit: You may submit up to two separate abstracts for consideration. The selection committee may select both, one or neither may be selected during the approval process (500 words max).
Abstract type: Submitted abstracts must fall in line with the themes of the conference. All submissions will receive equal consideration. We encourage researchers, in particular young researchers and trainees in academia, industry and government to submit the title and one-page abstract.
What happens next?: Once you have submitted an abstract it will be reviewed by the committee around the deadline date. You will be contacted once the committee has completed their review. This will be after the deadline date of May 3, 2024 has passed.
You must follow the instructions below, and submit your abstract by May 3, 2024, Eastern Time.
If selected for a poster: You will be provided with instructions for uploading and printing your poster. Please upload your poster and bring a printed poster to the conference on the first day. You will be instructed on where to display your poster.
You must submit your Poster by May 6, 2024, Eastern Time. Poster Submission page will open soon.
If you have any questions about the process please email ming-hui.chen@uconn.edu.