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Takeda (United States)

United States

9 papers here141 citations across 9
fields
  • stat.ME4
  • econ.GN2
  • econ.EM1
  • eess.IV1
  • stat.AP1
ROR 03bygaq51OpenAlex

affiliations via OpenAlex

output
20162022
most citedDistributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer's Disease

34 citations

researchers with a paper here
  • I. Daizadeh3 · h 11
  • A. Watts2 · h 20
  • D. Volfson2 · h 19
  • Jacek K. Urbanek2 · h 24
  • Jianchang Lin2 · h 22
  • Liwen Wu2 · h 5
  • Rahul Ghosal2 · h 6
  • V. Varma2 · h 26
  • V. Zipunnikov2 · h 42
  • Ajinkya Pandit1 · h 9
  • A. Myerson1 · h 58
  • Charles D. Papageorgiou1 · h 3
collaborating institutions
  • Johns Hopkins MedicineUS2 papers
  • Johns Hopkins UniversityUS2 papers
  • National Institute on AgingUS2 papers
  • National Institutes of HealthUS2 papers
  • Rush University Medical CenterUS2 papers
  • Tel Aviv Sourasky Medical CenterIL2 papers
  • Tel Aviv UniversityIL2 papers
  • University of KansasUS2 papers
  • Massachusetts Institute of TechnologyUS1 paper
  • Morpho (United States)US1 paper
  • Singapore-MIT Alliance for Research and TechnologySG1 paper
  • Takeda (Japan)JP1 paper
Showing 2016 · stat.MEShow all

1 paper · 2 filters

stat.ME2016★ 18 cited

An efficient multiple imputation algorithm for control-based and delta-adjusted pattern mixture models using SAS

Yongqiang Tang

In clinical trials, mixed effects models for repeated measures (MMRM) and pattern mixture models (PMM) are often used to analyze longitudinal continuous outcomes. We describe a sim…

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