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Roy Mill

Biographic Data

ID5847757
NAMERoy Mill
GIVEN NAMESRoy
FAMILY NAMEMill
SIGNATUREMILL R
AFFILIATIONSAt-Bay Inc, USA
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS20
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR1985
LATEST PUBLICATION YEAR2020
H-INDEX2
  • Linking individuals across historical sources

    Ran Abramitzky, Roy Mill et al.•ARTICLE•Historical Methods A Journal of…•2020•Cited by: 16•References: 40

    Linking individuals across historical datasets relies on information such as name and age that is both non-unique and prone to enumeration and transcription errors. These errors make it impossible to find the correct match with certainty. In the first part of the paper, we suggest a fully automated probabilistic method for linking historical datasets that enables researchers to create samples at the frontier of minimizing type I (false positives)…

  • A priority system model for sanitation management in food service establishments

    Ben E Wodi, Roy Mill et al.•ARTICLE•American Journal of Public Health•1985•Cited by: 4•References: 7

    We set out to develop a sanitation management scheme that will enable health regulatory authorities to utilize available personnel more efficiently in the regulation of the food service industry given the current budgetary and manpower constraints. Previous analyses of the Annual Food Service Establishment Sanitation Inspection Summary records from a large County Department of Health for fiscal years 1979, 1980, and 1981 indicated a cut-off point…

  • Linking individuals across historical sources

    Ran Abramitzky, Roy Mill et al.•ARTICLE•Historical Methods A Journal of…•2020•Cited by: 16•References: 40

    Linking individuals across historical datasets relies on information such as name and age that is both non-unique and prone to enumeration and transcription errors. These errors make it impossible to find the correct match with certainty. In the first part of the paper, we suggest a fully automated probabilistic method for linking historical datasets that enables researchers to create samples at the frontier of minimizing type I (false positives)…

  • A priority system model for sanitation management in food service establishments

    Ben E Wodi, Roy Mill et al.•ARTICLE•American Journal of Public Health•1985•Cited by: 4•References: 7

    We set out to develop a sanitation management scheme that will enable health regulatory authorities to utilize available personnel more efficiently in the regulation of the food service industry given the current budgetary and manpower constraints. Previous analyses of the Annual Food Service Establishment Sanitation Inspection Summary records from a large County Department of Health for fiscal years 1979, 1980, and 1981 indicated a cut-off point…

  • A priority system model for sanitation management in food service establishments

    Ben E Wodi, Roy Mill et al.•ARTICLE•American Journal of Public Health•1985•Cited by: 4•References: 7

    We set out to develop a sanitation management scheme that will enable health regulatory authorities to utilize available personnel more efficiently in the regulation of the food service industry given the current budgetary and manpower constraints. Previous analyses of the Annual Food Service Establishment Sanitation Inspection Summary records from a large County Department of Health for fiscal years 1979, 1980, and 1981 indicated a cut-off point…

  • Linking individuals across historical sources

    Ran Abramitzky, Roy Mill et al.•ARTICLE•Historical Methods A Journal of…•2020•Cited by: 16•References: 40

    Linking individuals across historical datasets relies on information such as name and age that is both non-unique and prone to enumeration and transcription errors. These errors make it impossible to find the correct match with certainty. In the first part of the paper, we suggest a fully automated probabilistic method for linking historical datasets that enables researchers to create samples at the frontier of minimizing type I (false positives)…

Population (2 works) · Artificial Intelligence (1 work) · Business (1 work) · Child Nutrition and Water Access (1 work) · Computer Science (1 work) · Data mining (1 work) · demographic modeling and climate adaptation (1 work) · Economics (1 work) · Environmental health (1 work) · False positive paradox (1 work)

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