Skip to main navigation Skip to search Skip to main content

Semiparametric additive time-varying coefficients model for longitudinal data with censored time origin

  • Yanqing Sun
  • , Qiong Shou
  • , Peter B. Gilbert
  • , Fei Heng
  • , Xiyuan Qian
  • Univ. of North Carolina-Charlotte

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Pages (from-to)695-710
Number of pages16
JournalBiometrics
Volume79
Issue number2
DOIs
StatePublished - Jun 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

  • Statistics and Probability
  • General Medicine
  • General Immunology and Microbiology
  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences
  • Applied Mathematics

Keywords

  • Step vaccine trial
  • censored time origin
  • kernel smoothing
  • longitudinal data
  • random sampling times
  • weight selection

Fingerprint

Dive into the research topics of 'Semiparametric additive time-varying coefficients model for longitudinal data with censored time origin'. Together they form a unique fingerprint.

Cite this