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Conjoint psychometric field estimation for bilateral audiometry.
Barbour, Dennis L; DiLorenzo, James C; Sukesan, Kiron A; Song, Xinyu D; Chen, Jeff Y; Degen, Eleanor A; Heisey, Katherine L; Garnett, Roman.
Afiliación
  • Barbour DL; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University, 1 Brookings Drive, Box 1097, St. Louis, MO, 63130, USA. dbarbour@wustl.edu.
  • DiLorenzo JC; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University, 1 Brookings Drive, Box 1097, St. Louis, MO, 63130, USA.
  • Sukesan KA; Department of Computer Science and Engineering, Washington University, 1 Brookings Drive, Box 1045, St. Louis, MO, 63130, USA.
  • Song XD; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University, 1 Brookings Drive, Box 1097, St. Louis, MO, 63130, USA.
  • Chen JY; Department of Computer Science and Engineering, Washington University, 1 Brookings Drive, Box 1045, St. Louis, MO, 63130, USA.
  • Degen EA; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University, 1 Brookings Drive, Box 1097, St. Louis, MO, 63130, USA.
  • Heisey KL; Laboratory of Sensory Neuroscience and Neuroengineering, Department of Biomedical Engineering, Washington University, 1 Brookings Drive, Box 1097, St. Louis, MO, 63130, USA.
  • Garnett R; Department of Computer Science and Engineering, Washington University, 1 Brookings Drive, Box 1045, St. Louis, MO, 63130, USA.
Behav Res Methods ; 51(3): 1271-1285, 2019 06.
Article en En | MEDLINE | ID: mdl-29949072
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Psicometría Límite: Humans Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Psicometría Límite: Humans Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos