DISS2024 is pleased to invite submissions for poster presentations, the poster lightning talk session and the poster award competition.
Symposium dates: April 3-5, 2024 (In-person)
Theme: "Statistical Innovation for Next-Generation Pharmaceutical Development"
The symposium will explore the forefront of statistical innovation in next-generation clinical research for pharmaceutical products.
The poster session covers a wide array of topics, including quantitative methods and their applications in pharmaceutical development, clinical research, and biomedical studies.
Participants can engage in three formats:
1. Poster Presentation Session (12:00 pm - 1:15 pm on April 4, 2024) All submitted posters will give a traditional interactive poster presentation.
2. Poster Lightning Talk Session (3:00 pm - 5:00 pm on April 4, 2024) Selected posters will deliver brief and focused talks on their posters' key points.
3. Early Career Poster Award Competition This will offer an exciting opportunity for students and postdoctoral researchers to gain recognition for their work.
Submission Deadlines:
For Special Sessions and Competitions: February 15, 2024 (EST) at 5:00pm, to be considered for the Poster Lightning Talk Session or the Early Career Poster Award Competition.
Regular Submissions: March 15, 2024 (EST) at 5:00pm, for all other regular poster presentations.
Submission Formats:
Abstracts: Submit in Word or PDF format.
Posters: Only PDF format will be accepted.
The symposium registration fee will be waived for all participants of poster sessions. The associated promo code will be sent to participants.
Please visit the DISS2024 Website for further instruction on submitting your poster, the symposium program schedule, including short courses, speakers, talk abstracts and to register: https://sites.duke.edu/diss/
Please send all inquiries with the subject line "Poster submission for DISS2024" to Dr. Hwanhee Hong at Hwanhee.Hong@duke.edu.
The Duke-Industry Statistics Symposium (DISS) is organized by the Department of Biostatistics and Bioinformatics, Duke University School of Medicine and several industry and non-profit partners.