2025 LiDS Conference

2025 Lifetime Data Science Conference
Lifetime Data Science and the World

The 4th Conference on Lifetime Data Science

New York Marriott at the Brooklyn Bridge

Brooklyn, New York, USA

May 28-30, 2025

The fourth Lifetime Data Science (LiDS) Conference is scheduled to take place from May 28 to May 30, 2025, at the New York Marriott at the Brooklyn Bridge in Brooklyn, NY. Under the theme 'Lifetime Data Science and the World,' the conference will host distinguished keynote speakers, including Drs. Nicholas P. Jewell and Mei-Ling Ting Lee, prominent figures in the field of survival analysis. The program will feature a day of short courses and two days of parallel invited sessions. A highlight of the event will be the banquet on May 29, 2025. In addition to being held at a top-tier venue, New York City is home to myriad world-class academic institutions, tech, and pharmaceutical companies, and health care organizations. Building on the success of previous LiDS conferences held in 2017, 2019, and 2023, we anticipate an engaging and informative event showcasing the latest advancements in lifetime data science research.

Registration

Registration for the 2025 Lifetime Data Science conference, short courses, and banquet is open through the following link:

Register for the 2025 LiDS Conference

The early-bird conference and short course registration rate will end on April 15, 2025. 

Accommodations

Rooms can be reserved at the New York Marriott at the Brooklyn Bridge with the discounted conference rate using the following links:

General Attendees

U.S. Government Employees (Choose "Government and Military" under the SPECIAL RATES tab)

Keynote Presentations

Current Status Data and Immortal Time Bias: Two Old Problems Revisited Nicholas P Jewell, University of California at Berkeley Current status data and immortal time bias are two (unrelated) problems that have long attracted interest from survival analysis researchers. This talk revisits these two problems, motivated by current day applications to Covid-19 data, and presents both questions and some solutions.

Semiparametric First-hitting-time Threshold Regression  Mei-Ling Ting Lee, University of Maryland, College Park Disease progression in a patient can be described mathematically as a stochastic process. The patient experiences a failure event when his/her latent disease progression first reaches a critical threshold level. This happening defines the failure event itself and the first hitting time (FHT) is the event time. First hitting time threshold regression (TR) models incorporate regression functions for parameters of the underlying stochastic process. The FHT TR models are intuitive and do not require the proportional hazards assumption, therefore represent a realistic alternative to the Cox model. To date, most FHT TR applications have been based on parametric families such as the Wiener processes or gamma processes. The only one key property needed for the FHT threshold regression model is that the disease process has stationary independent increments. Hence, we extend the threshold regression model to the family of Levy processes with cumulant generating function. Using the Markov property of the stationary independent increments, the FHT TR models can easily handle longitudinal time-to-event data.  We demonstrate an application using the Osteoarthritis Initiative (OAI) data. The method uses a linear combination of relevant covariate processes to serve as a surrogate for latent osteoarthritic deterioration that triggers prediction of knee replacement.

Student Paper Competition

The Lifetime Data Science (LiDS) Section of the American Statistical Association is inviting entries for the Student Paper Competition at the 2025 Lifetime Data Science Conference, scheduled for May 28-30, 2025, at the New York Marriott at the Brooklyn Bridge in Brooklyn, NY. This competition aims to recognize outstanding student research in lifetime data science.

Eligibility

• The applicant must be a current member of the ASA-LiDS Section at the time of paper submission. They should be either a doctoral student at an accredited institution or a recent graduate with a doctoral degree completed during the 2024 calendar year.
• The research topic should be relevant to lifetime data science methods or applications.
• The applicant must be the first author of the paper, though co-authorship with faculty advisors and/or collaborators is allowed.
• The paper must be unpublished and not accepted for publication at the time of submission.

Award Presentation Requirement

Award winners must be available to present their submitted paper at the 2025 LiDS Conference, scheduled for May 28-30, 2025, at the New York Marriott at the Brooklyn Bridge, NY.

Important Note on Membership

Being a member of the ASA does not automatically include membership in specific sections. To join the ASA’s Lifetime Data Science (ASA-LiDS) section, you must select that section when joining or renewing your ASA membership. Membership in this section is free for students.

Guidelines for Manuscript Preparation

Manuscripts should focus on the field of Lifetime Data Science and must adhere to the following formatting requirements:

·       Length: No more than 25 pages, including the abstract, tables, figures, references, and any appendices.

·       Margins: At least one inch on all sides.

·       Font: 12-point size.

·       Line Spacing: Double-spaced with no more than 25 lines per page.

 Submission Requirements

1.    Cover Letter: A letter confirming eligibility for the application, it should include:

·      Applicant's name

·      Current affiliation

·      Student status (including expected graduation date)

·      Institution granting the doctoral degree

·      Full contact details (address, phone number, and email)

Note: This letter must be signed by the applicant and their academic advisor.

2.    Manuscript: Submit two copies of the manuscript:

·      One blinded copy (with identifying information removed)

·      One un-blinded copy (containing identifying information)

Review Criteria

The selection will be based on the following areas:

·       Relevance and Motivation: The research should be well motivated by a scientific problem in the broad field of Lifetime Data Science.

·       Methodology: The proposed methodology should be applicable to the motivating problem presented.

·       Clarity: The manuscript should be well-organized and clearly presented.

Awards

·       Up to four awards will be granted for outstanding student papers.

·       Each winner will receive a $500 cash prize to cover expenses for the LiDS 2025 Conference.

·       Winners will be honored at the 2025 LiDS Conference Banquet.

All required materials must be submitted by 11:59 p.m. EDT, February 28, 2025, to Dr. Leilei Zeng, Chair of the LiDS Student Paper Awards Competition Committee, at lzeng@uwaterloo.ca. Please include "2025 LiDS Student Paper Competition" in the subject line.

Winners will be announced by March 31, 2025 and will be asked to submit an abstract to a member of the 2025 LiDS Conference Program Committee.

Call for Invited Session Proposals (CLOSED)

The conference scientific program committee welcomes invited session proposals. An invited session consists of either 3 or 4 presenters, and the session proposal needs to provide a title, a short description of the session, and the information about the speakers, including their talk titles and abstracts, names, emails, and affiliations. The one-talk rule will be applied (i.e., each speaker can only give one invited talk). It is required to confirm all speakers’ availability before the proposal submission. Proposal submission is closed. The acceptance of invited sessions will be determined by August 31, 2024. In order to secure the invited session slot, the presenters will be required to register to the conference and submit the abstracts online by a deadline to be given later. For more information, please contact Scientific Program Committee Chair Professor (Tony) Jianguo Sun at sunj@missouri.edu or Co-Chair Professor Zhezhen Jin at zj7@cumc.columbia.edu.

Scientific Program Committee

(Tony) Jianguo Sun (Chair, University of Missouri)

Zhezhen Jin (Co-Chair, Columbia University)

Din (Ding-Geng) Chen (Arizona State University)

Ming-Hui Chen (University of Connecticut)

Richard Cook (University of Waterloo)

Joan Hu (Simon Fraser University)

Esra Kurum (University of California, Riverside)

Ingrid Van Keilegom (KU Leuven)

Gang Li (University of California, Los Angeles)

Xuewen Lu (University of Calgary)

Wenbin Lu (North Carolina State University)

Edsel Peña (University of South Carolina)

Ryan Sun (University of Texas MD Anderson Cancer Center)

Mei-Cheng Wang (Johns Hopkins University)

Ronghui (Lily) Xu (University of California, San Diego)

Grace Y. Yi (University of Western Ontario)

Ying Zhang (University of Nebraska)

Bin Zhang (University of Cincinnati) 

Shanshan Zhao (National Institutes of Health)

Xingqiu Zhao (The Hong Kong Polytechnic University)

Yichuan Zhao (Georgia State University)

Qingning Zhou (University of North Carolina at Charlotte)

Local Organizing Committee

Wenbo Wu (Chair, NYU Grossman School of Medicine)

Iván Díaz (Co-Chair, NYU Grossman School of Medicine)

Rebecca Betensky (NYU School of Global Public Health)

Zhonghua Liu (Columbia University Mailman School of Public Health)

Yuqi Gu (Columbia University)

Cuiling Wang (Albert Einstein College of Medicine)

Charles Hall (Albert Einstein College of Medicine)

Myeonggyun (Matt) Lee (NYU Grossman School of Medicine)

Michele Santacatterina (NYU Grossman School of Medicine and Google)

Online Platform Committee

Nicholas Hartman (Chair, University of Michigan)

Dayu Sun (Indiana University School of Medicine)

Wenbo Wu (NYU Grossman School of Medicine)

Program Book Committee

Dayu Sun (Chair, Indiana University School of Medicine)

Short Course Committee

Mengling Liu (NYU Grossman School of Medicine)

Myeonggyun (Matt) Lee (NYU Grossman School of Medicine)