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Stephen C K Law

Biographic Data

ID6169856
NAMEStephen C K Law
GIVEN NAMESStephen C K
FAMILY NAMELaw
SIGNATURELAW S C K
AFFILIATIONSUniversity College London
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS3
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Multi-modal contrastive learning of urban space representations from POI data

    Open Access•Xinglei Wang, Tao Cheng et al.•ARTICLE•Computers Environment and Urban…•2025•References: 25

    Understanding and characterising urban environment is crucial for urban planning and geospatial analysis. One common approach to this process is through using point of interest (POI) data, which offers rich information about the spatial-semantic characteristics of urban spaces. Existing methods for learning urban space representations from POIs face several limitations, including reliance on predefined spatial units, ignorance of POI location inf…

  • The Demographic Window and Economic Dependency Ratio in the Hong Kong Sar

    Paul S F Yip, Karen Siu‐Lan Cheung et al.•ARTICLE•Asian Population Studies•2010•References: 4

    Hong Kong, like other countries with developed economies, is experiencing significant population ageing. The shift in the population age structure results from a combination of decreasing mortality rates and prolonged low fertility rates. This paper investigates the economic impact of changes in a population's age structure. We forecast on sex-specific labour force participation rates (LFPRs) and the economic dependency ratio (EDR) using differen…

  • Understanding sociohistorical imprint on cancer risk by age–period–cohort decomposition in Hong Kong

    Iraida Wong, Irene O L Wong et al.•ARTICLE•Journal of Epidemiology and…•2010•Cited by: 3•References: 32

    BACKGROUND: Research on trends in cancer incidence has usually examined single sites in populations that long ago completed the economic transition. The trends in 11 cancers in three groups in the recently transitioned Hong Kong Chinese population were examined to delineate the effects of economic transition and provide generalised aetiological insights. METHODS: Sex-specific Poisson models were fitted to cancer incidence in Hong Kong (1974-2003)…

  • A National Formulary for Canada

    AIDAN HOLLIS, Stephen Law et al.•ARTICLE•Canadian Public Policy•2004

    This article analyzes the benefits and costs of replacing Canada's ten different provincial formularies with one single national formulary. The 2002 Romanow Commission on the Future of Health Care in Canada recommended that Canada should have a National Drug Agency which would maintain a national formulary, replacing the existing provincial formularies which balkanize drug markets across Canada. This recommendation has been in part incorporated i…

  • Understanding sociohistorical imprint on cancer risk by age–period–cohort decomposition in Hong Kong

    Iraida Wong, Irene O L Wong et al.•ARTICLE•Journal of Epidemiology and…•2010•Cited by: 3•References: 32

    BACKGROUND: Research on trends in cancer incidence has usually examined single sites in populations that long ago completed the economic transition. The trends in 11 cancers in three groups in the recently transitioned Hong Kong Chinese population were examined to delineate the effects of economic transition and provide generalised aetiological insights. METHODS: Sex-specific Poisson models were fitted to cancer incidence in Hong Kong (1974-2003)…

  • A National Formulary for Canada

    AIDAN HOLLIS, Stephen Law et al.•ARTICLE•Canadian Public Policy•2004

    This article analyzes the benefits and costs of replacing Canada's ten different provincial formularies with one single national formulary. The 2002 Romanow Commission on the Future of Health Care in Canada recommended that Canada should have a National Drug Agency which would maintain a national formulary, replacing the existing provincial formularies which balkanize drug markets across Canada. This recommendation has been in part incorporated i…

  • The Demographic Window and Economic Dependency Ratio in the Hong Kong Sar

    Paul S F Yip, Karen Siu‐Lan Cheung et al.•ARTICLE•Asian Population Studies•2010•References: 4

    Hong Kong, like other countries with developed economies, is experiencing significant population ageing. The shift in the population age structure results from a combination of decreasing mortality rates and prolonged low fertility rates. This paper investigates the economic impact of changes in a population's age structure. We forecast on sex-specific labour force participation rates (LFPRs) and the economic dependency ratio (EDR) using differen…

  • Understanding sociohistorical imprint on cancer risk by age–period–cohort decomposition in Hong Kong

    Iraida Wong, Irene O L Wong et al.•ARTICLE•Journal of Epidemiology and…•2010•Cited by: 3•References: 32

    BACKGROUND: Research on trends in cancer incidence has usually examined single sites in populations that long ago completed the economic transition. The trends in 11 cancers in three groups in the recently transitioned Hong Kong Chinese population were examined to delineate the effects of economic transition and provide generalised aetiological insights. METHODS: Sex-specific Poisson models were fitted to cancer incidence in Hong Kong (1974-2003)…

  • Multi-modal contrastive learning of urban space representations from POI data

    Open Access•Xinglei Wang, Tao Cheng et al.•ARTICLE•Computers Environment and Urban…•2025•References: 25

    Understanding and characterising urban environment is crucial for urban planning and geospatial analysis. One common approach to this process is through using point of interest (POI) data, which offers rich information about the spatial-semantic characteristics of urban spaces. Existing methods for learning urban space representations from POIs face several limitations, including reliance on predefined spatial units, ignorance of POI location inf…

Demography (2 works) · Geography (2 works) · Health disparities and outcomes (2 works) · Insurance, Mortality, Demography, Risk Management (2 works) · Medicine (2 works) · Population (2 works) · Age structure (1 work) · Artificial Intelligence (1 work) · Birth, Development, and Health (1 work) · Cancer (1 work)

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