New Developments for Recurrent Events or Competing Risks Data Analysis

Wed, Aug 9, 2:00 PM

Lang ZengChair

Lifetime Data Science Section

7 Presentations

A General Class of Additive-Multiplicative Models for Recurrent Event Data

2:05 PM - 2:20 PM

Russell Stocker (Indiana University of Pennsylvania)

A multiple imputation approach for cumulative incidence estimation

2:20 PM - 2:35 PM

Elizabeth Chase

Co-authors: Philip Boonstra (University of Michigan), Jeremy Taylor (University of Michigan)

Classification of Competing Risk Outcomes under a Semiparametric Density Ratio Model

2:35 PM - 2:50 PM

Huijun Jiang

Co-authors: Quefeng Li (University of North Carolina Chapel Hill), Jessica Lin (University of North Carolina at Chapel Hill), Feng-Chang Lin (University of North Carolina)

A Dynamic Proportional Intensity Factor Model for Multivariate Counting Processes

2:50 PM - 3:05 PM

Fangyi Chen (Columbia University)

Co-authors: Hok Kan Ling, Zhiliang Ying (Columbia University)

Semiparametric Joint Modeling of Longitudinal and Panel Count Data

3:05 PM - 3:20 PM

Jay Xu

Co-authors: Gang Li (University of California-Los Angeles), Hua Zhou (UCLA), Jin Zhou (UCLA)

Statistical Methods for Composite Analysis of Recurrent and Terminal Events in Clinical Trials

3:20 PM - 3:35 PM

Yiyuan Huang

Co-authors: Min Zhang (University of Michigan), Douglas Schaubel (University of Pennsylvania)

WITHDRAWN Comparisons of Entire Mean Cumulative Functions of Two Samples of Recurrent Events Data

3:35 PM - 3:50 PM

Co-authors: Wayne Nelson (Wayne Nelson Statistical Consulting)

Session participants

Ying Ding (University of Pittsburgh)

Participant