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Huairen Ye

Biographic Data

ID6478349
NAMEHuairen Ye
GIVEN NAMESHuairen
FAMILY NAMEYe
SIGNATUREYE H
AFFILIATIONSUniversity of Tennessee at Knoxville
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS3
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2016
H-INDEX1
  • Effects of Neighborhood Characteristics on Length of Inpatient Stay

    Huairen Ye, Sungkyu Lee et al.•ARTICLE•Social Work Research•2016•Cited by: 1•References: 6

    Using a nationally representative U.S. sample, this study examined the extent to which neighborhood characteristics affected length of inpatient stay (LOS) in the United States. Data were obtained from the 2012 Area Health Resource Files. A total of 3,148 U.S. counties were included in the study. Generalized linear models and the geographically weighted regression model were used to examine the extent to which neighborhood characteristics affecte…

  • Contents Page

    James Williams, Roh et al.•ARTICLE•Social Work Research•2016

  • Locating healthcare facilities using a network-based covering location problem

    Open Access•Huairen Ye, Hyun Kim•ARTICLE•GeoJournal•2016•Cited by: 2

  • Locating healthcare facilities using a network-based covering location problem

    Open Access•Huairen Ye, Hyun Kim•ARTICLE•GeoJournal•2016•Cited by: 2

  • Effects of Neighborhood Characteristics on Length of Inpatient Stay

    Huairen Ye, Sungkyu Lee et al.•ARTICLE•Social Work Research•2016•Cited by: 1•References: 6

    Using a nationally representative U.S. sample, this study examined the extent to which neighborhood characteristics affected length of inpatient stay (LOS) in the United States. Data were obtained from the 2012 Area Health Resource Files. A total of 3,148 U.S. counties were included in the study. Generalized linear models and the geographically weighted regression model were used to examine the extent to which neighborhood characteristics affecte…

  • Effects of Neighborhood Characteristics on Length of Inpatient Stay

    Huairen Ye, Sungkyu Lee et al.•ARTICLE•Social Work Research•2016•Cited by: 1•References: 6

    Using a nationally representative U.S. sample, this study examined the extent to which neighborhood characteristics affected length of inpatient stay (LOS) in the United States. Data were obtained from the 2012 Area Health Resource Files. A total of 3,148 U.S. counties were included in the study. Generalized linear models and the geographically weighted regression model were used to examine the extent to which neighborhood characteristics affecte…

  • Contents Page

    James Williams, Roh et al.•ARTICLE•Social Work Research•2016

  • Locating healthcare facilities using a network-based covering location problem

    Open Access•Huairen Ye, Hyun Kim•ARTICLE•GeoJournal•2016•Cited by: 2

Geography (2 works) · Cartography (1 work) · Computer network (1 work) · Computer Science (1 work) · Data mining (1 work) · Demography (1 work) · Disadvantaged (1 work) · Environmental health (1 work) · Facility Location and Emergency Management (1 work) · Facility location problem (1 work)

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