World's Best Scientists 2026 revealed!
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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
80
Citations
30762
World Ranking
145
National Ranking
83

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2000 - Fellow of the American Statistical Association (ASA)

Overview

Danyu Lin is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily focuses on fields including Biochemistry, Genetics, and Molecular Biology. Within these broad areas, Lin's work extensively covers Genetics, Statistics and Probability, Molecular Biology, Infectious Diseases, and Artificial Intelligence.

The scientist's main research topics include:

  • Genetic Associations and Epidemiology
  • Statistical Methods and Inference
  • SARS-CoV-2 and COVID-19 Research
  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Single-cell and spatial transcriptomics
  • Statistical Methods in Clinical Trials

Lin has collaborated frequently with several co-authors, among them:

  • Donglin Zeng
  • Kari E. North
  • Christy L. Avery
  • Heather M. Highland
  • Yangjianchen Xu

Their work has been published predominantly in the following venues:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • New England Journal of Medicine
  • BMC Genomics
  • Genetic Epidemiology

Selected recent papers authored or co-authored by Danyu Lin include:

  • "Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data," 2022, Nature Genetics
  • "Effectiveness of Bivalent Boosters against Severe Omicron Infection," 2023, New England Journal of Medicine
  • "Marginal regression models for recurrent and terminal events," 2021, UNC Libraries
  • "Association of Primary and Booster Vaccination and Prior Infection With SARS-CoV-2 Infection and Severe COVID-19 Outcomes," 2022, JAMA
  • "Durability of Bivalent Boosters against Omicron Subvariants," 2023, New England Journal of Medicine

In 2000, Lin was recognized as a Fellow of the American Statistical Association (ASA).

Best Publications

  • The Robust Inference for the Cox Proportional Hazards Model

    D. Y. Lin;L. J. Wei

  • Regression analysis of multivariate incomplete failure time data by modeling marginal distributions

    L. J. Wei;D. Y. Lin;L. Weissfeld

  • Checking the Cox model with cumulative sums of martingale-based residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • TIME-DEPENDENT COVARIATES IN THE COX PROPORTIONAL-HAZARDS REGRESSION MODEL

    Lloyd D. Fisher;Danyu Lin

  • Semiparametric regression for the mean and rate functions of recurrent events

    D. Y. Lin;L. J. Wei;I. Yang;Z. Ying

  • METHODS FOR ANALYZING HEALTH CARE UTILIZATION AND COSTS

    P. Diehr;D. Yanez;Arlene S. Ash;M. Hornbrook

  • Semiparametric analysis of the additive risk model

    D. Y. Lin;Zhiliang Ying

  • Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies

    D. Y. Lin;B. M. Psaty;R. A. Kronmal

  • Cox regression analysis of multivariate failure time data: The marginal approach

    D. Y. Lin

  • Estimating the proportion of treatment effect explained by a surrogate marker

    Danyu Lin;T. R. Fleming;V. De Gruttola

  • Estimating medical costs from incomplete follow-up data.

    Danyu Lin;E. J. Feuer;R. Etzioni;Y. Wax

  • NON-PARAMETRIC INFERENCE FOR CUMULATIVE INCIDENCE FUNCTIONS IN COMPETING RISKS STUDIES

    D. Y. Lin

  • Rank-based inference for the accelerated failure time model

    Zhezhen Jin;D. Y. Lin;L. J. Wei;Zhiliang Ying

  • Assessment and control for confounding by indication in observational studies.

    Bruce M. Psaty;Thomas D. Koepsell;Danyu Lin;Noel S. Weiss

  • Maximum likelihood estimation in semiparametric regression models with censored data

    Donglin Zeng;Danyu Lin

  • A randomized, double-blind, placebo-controlled trial of ursodeoxycholic acid in primary biliary cirrhosis

    Burton Combes;Robert L. Carithers;Willis C. Maddrey;Willis C. Maddrey;Danyu Lin

  • Semiparametric and Nonparametric Regression Analysis of Longitudinal Data

    D. Y Lin;Z Ying

  • Cox Regression with Incomplete Covariate Measurements

    Danyu Lin;Z. Ying

  • Nonparametric analysis of recurrent events and death.

    Debashis Ghosh;D. Y. Lin

  • Model‐Checking Techniques Based on Cumulative Residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • Linear regression analysis of censored survival data based on rank tests

    L. J. Wei;Z. Ying;Danyu Lin

Frequent Co-Authors

Bruce M. Psaty
Bruce M. Psaty University of Washington
Kari E. North
Kari E. North University of North Carolina at Chapel Hill
Zhiliang Ying
Zhiliang Ying Columbia University
Stephan Ripke
Stephan Ripke Massachusetts General Hospital
Patrick F. Sullivan
Patrick F. Sullivan University of North Carolina at Chapel Hill
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Danielle Posthuma
Danielle Posthuma Vrije Universiteit Amsterdam
Gerardo Heiss
Gerardo Heiss University of North Carolina at Chapel Hill
Charles Kooperberg
Charles Kooperberg Fred Hutchinson Cancer Research Center
Shaun Purcell
Shaun Purcell Harvard Medical School

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