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Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis.
Pietrosanu, Matthew; Shu, Haoxu; Jiang, Bei; Kong, Linglong; Heo, Giseon; He, Qianchuan; Gilmore, John; Zhu, Hongtu.
Afiliación
  • Pietrosanu M; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
  • Shu H; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
  • Jiang B; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
  • Kong L; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
  • Heo G; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G 2G1, Canada.
  • He Q; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle,WA 98109, USA.
  • Gilmore J; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Zhu H; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Biostatistics ; 24(2): 465-480, 2023 04 14.
Article en En | MEDLINE | ID: mdl-34418057
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Imagen de Difusión Tensora Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Imagen de Difusión Tensora Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article