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Modeling confounding by half-sibling regression.
Schölkopf, Bernhard; Hogg, David W; Wang, Dun; Foreman-Mackey, Daniel; Janzing, Dominik; Simon-Gabriel, Carl-Johann; Peters, Jonas.
Afiliação
  • Schölkopf B; Department of Empirical Inference, MPI for Intelligent Systems, Max Planck Institute for Intelligent Systems, 72076 Tuebingen, Germany; bs@tuebingen.mpg.de.
  • Hogg DW; Center for Cosmology and Particle Physics, New York University, New York, NY 10003.
  • Wang D; Center for Cosmology and Particle Physics, New York University, New York, NY 10003.
  • Foreman-Mackey D; Center for Cosmology and Particle Physics, New York University, New York, NY 10003.
  • Janzing D; Department of Empirical Inference, MPI for Intelligent Systems, Max Planck Institute for Intelligent Systems, 72076 Tuebingen, Germany;
  • Simon-Gabriel CJ; Department of Empirical Inference, MPI for Intelligent Systems, Max Planck Institute for Intelligent Systems, 72076 Tuebingen, Germany;
  • Peters J; Department of Empirical Inference, MPI for Intelligent Systems, Max Planck Institute for Intelligent Systems, 72076 Tuebingen, Germany;
Proc Natl Acad Sci U S A ; 113(27): 7391-8, 2016 07 05.
Article em En | MEDLINE | ID: mdl-27382154
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2016 Tipo de documento: Article