Home




LiDA-IG.bmp Welcome to the Lifetime Data Science (LiDS) Section
  • Our Objective
  • Our History
  • Our newsletters are published twice a year (January and July). Members are invited to submit contributions to the LiDS Newsletter.  For more information, check out our Newsletters section for more information and latest update.
  • See our LiDS Webinar Series section for upcoming webinar series!
  • We would be very pleased to welcome new members. We encourage you to join when you renew your membership by selecting the Lifetime Data Science Section!

New Announcement





Our Objective

The objective of the Section is to promote and support the development, application and appropriate use of statistical methods for design and analysis of lifetime data and time-to-event data, including analysis of time-to-event data with censoring, truncation and competing risks, counting processes, multi-state, multiple or clustered events, and longitudinal biomarker histories, and quality-of-life models, including

  • Supporting the development of new methods
  • Identifying new areas of application and appropriate use
  • Fostering interdisciplinary research in areas such as biomedical research, finance, economics, imaging, engineering, genomics and genetics

In pursuing these objectives, the Section will work closely and coordinate with other sections of the Association whenever appropriate.  In particular, the Section shares interests with other sections in the following areas:


  • The analysis of observational and experimental data involving humans
  • Evaluation of therapeutic interventions on chronic disease processes
  • Dealing with diverse administrative data sources
  • Modeling dynamic phenomenon in business, industry, sociology and other fields
  • Publication of research developments and results
  • Organization of educational programs for statisticians and researchers working in these areas



Please click here for the new ASA guidelines on ethics.
If you wish to comment on these guidelines, please do so at:  
https://community.amstat.org/ethics/ourlibrary/ourdiscussiongroup/communityblogs/blogs