Hierarchical Generalized Linear Models for Multiregional Clinical Trials

Article Properties
  • Language
    English
  • Publication Date
    2021/01/26
  • Indian UGC (journal)
  • Refrences
    38
  • Citations
    3
  • Junhui Park Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea;
  • Seung-Ho Kang Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea;
Cite
Park, Junhui, and Seung-Ho Kang. “Hierarchical Generalized Linear Models for Multiregional Clinical Trials”. Statistics in Biopharmaceutical Research, vol. 14, no. 3, 2021, pp. 358-67, https://doi.org/10.1080/19466315.2020.1862702.
Park, J., & Kang, S.-H. (2021). Hierarchical Generalized Linear Models for Multiregional Clinical Trials. Statistics in Biopharmaceutical Research, 14(3), 358-367. https://doi.org/10.1080/19466315.2020.1862702
Park J, Kang SH. Hierarchical Generalized Linear Models for Multiregional Clinical Trials. Statistics in Biopharmaceutical Research. 2021;14(3):358-67.
Journal Categories
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Science
Biology (General)
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2018
Multiregional Clinical Trials for Simultaneous Global New Drug Development 2016
Hierarchical Linear Models: Applications and Data Analysis Methods 2002
Base SAS 9.4 Procedures Guide 2015
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications 2012
Citations
Title Journal Journal Categories Citations Publication Date
Random intercept hierarchical linear model for multi-regional clinical trials Journal of Biopharmaceutical Statistics
  • Medicine: Therapeutics. Pharmacology
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Medicine: Public aspects of medicine: Toxicology. Poisons
2023
Random intercept hierarchical linear model for multi-regional clinical trials Journal of Biopharmaceutical Statistics
  • Medicine: Therapeutics. Pharmacology
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Medicine: Public aspects of medicine: Toxicology. Poisons
2023
Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization

Axioms
  • Science: Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1 2022
Citations Analysis
The category Medicine: Therapeutics. Pharmacology 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization and was published in 2022. The most recent citation comes from a 2023 study titled Random intercept hierarchical linear model for multi-regional clinical trials. This article reached its peak citation in 2023, with 2 citations. It has been cited in 2 different journals, 50% of which are open access. Among related journals, the Journal of Biopharmaceutical Statistics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year