Longitudinal data analysis using generalized linear models

Article Properties
  • Language
    English
  • DOI (url)
    10.1093/biomet/73.1.13
  • Publication Date
    1986/01/01
  • Journal
    Biometrika
  • Indian UGC (Journal)
  • Citations
    11,756
  • KUNG-YEE LIANG
  • SCOTT L. ZEGER
Cite
LIANG, KUNG-YEE, and SCOTT L. ZEGER. “Longitudinal Data Analysis Using Generalized Linear Models”. Biometrika, vol. 73, no. 1, 1986, pp. 13-22, https://doi.org/10.1093/biomet/73.1.13.
LIANG, K.-Y., & ZEGER, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73(1), 13-22. https://doi.org/10.1093/biomet/73.1.13
LIANG KY, ZEGER SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73(1):13-22.
Journal Categories
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Science
Biology (General)
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Citations Analysis
Category Category Repetition
Medicine: Medicine (General)3,634
Science: Mathematics: Probabilities. Mathematical statistics2,376
Social Sciences2,092
Science: Mathematics1,824
Medicine: Public aspects of medicine1,632
The first research to cite this article was titled Regression analysis for discrete event history or failure time data and was published in 1986. The most recent citation comes from a 2024 study titled Regression analysis for discrete event history or failure time data . This article reached its peak citation in 2021 , with 548 citations.It has been cited in 2,885 different journals, 13% of which are open access. Among related journals, the Statistics in Medicine cited this research the most, with 484 citations. The chart below illustrates the annual citation trends for this article.
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