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AbbVie (United States)

United States

16 papers here126 citations across 16
fields
  • stat.ME9
  • math.ST3
  • cond-mat.dis-nn1
  • cs.CY1
  • cs.LG1
  • q-bio.OT1
ROR 02g5p4n58OpenAlex

affiliations via OpenAlex

output
20132026
most citedRegression Trees for Longitudinal Data

64 citations

researchers with a paper here
  • Tianyu Zhan2 profiles6 · h 9
  • Jian Kang2 profiles4 · h 19
  • Yi-Hua Gu2 · h 26
  • Z. Geng2 · h 13
  • Abhik Seal1 · h 7
  • Achilleas Livieratos1 · h 6
  • A. Hartford1 · h 10
  • B. Crowe1 · h 21
  • Dai Feng1 · h 1
  • D. Almirall1 · h 38
  • D. Faries1 · h 47
  • D. Hunter1 · h 29
collaborating institutions
  • University of MichiganUS5 papers
  • Eli Lilly (United States)US3 papers
  • AbbVie (Japan)1 paper
  • Amgen (United States)US1 paper
  • Berkeley CollegeUS1 paper
  • Boston UniversityUS1 paper
  • Bristol-Myers Squibb (United States)US1 paper
  • CSL (Switzerland)CH1 paper
  • CSL (United States)US1 paper
  • Day Kimball HealthcareUS1 paper
  • Eli Lilly (Canada)CA1 paper
  • Eli Lilly (Singapore)SG1 paper
Showing 2019Show all

2 papers · 1 filter

stat.ME2019★ 4 cited

Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning

Tianyu Zhan, Jian Kang

In the problem of composite hypothesis testing, identifying the potential uniformly most powerful (UMP) unbiased test is of great interest. Beyond typical hypothesis settings with…

stat.ME2019

Optimizing Graphical Procedures for Multiplicity Control in a Confirmatory Clinical Trial via Deep Learning

Tianyu Zhan, Alan H Hartford, Jian Kang +1

In confirmatory clinical trials, it has been proposed to use a simple iterative graphical approach to construct and perform intersection hypotheses tests with a weighted Bonferroni…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.