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Matthew Soeberg

Datos Biográficos

ID5563276
NOMBREMatthew Soeberg
NOMBRESMatthew
APELLIDOSoeberg
FIRMASOEBERG M
AFILIACIONESUniversity of Otago
VERIFICADONo
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2011
AÑO MÁS RECIENTE DE PUBLICACIÓN2018
ÍNDICE H0
  • Australia’s Ongoing Legacy of Asbestos

    Open Access•Matthew Soeberg, Deborah Vallance et al.•ARTICLE•International Journal of…•2018

    The most effective way of reducing the global burden of asbestos-related diseases is through the implementation of asbestos bans and minimising occupational and non-occupational exposure to respirable asbestos fibres. Australia's asbestos consumption peaked in the 1970s with Australia widely thought to have had among the highest per-capita asbestos consumption level of any country. Australia's discontinuation of all forms of asbestos and asbestos…

  • Health impact assessment

    Ben Harris-Roxa, Ben Harris-Roxas et al.•ARTICLE•Impact Assessment and Project…•2012

    Health impact assessment (HIA) has matured as a form of impact assessment over the past two decades. The use of HIA methods and approaches has expanded rapidly, and it now has applications in both the public and private sectors and in an increasing number of countries around the world. This paper presents an overview of the historical and recent international developments in HIA, before detailing the existing strengths, weaknesses, opportunities …

  • P2-266 Relative vs cancer-specific survival

    Diana Sarfati, Thomas Blakely et al.•ARTICLE•Journal of Epidemiology and…•2011

    Introduction Cancer-specific and relative survival analyses are the two main methods of estimating net cancer survival. Bias through misclassification of cause of death is well recognised for cancer-specific survival, but to date there has been no systematic examination of the potential bias from using an external comparison group for relative survival. This latter bias may be particularly important for smoking-related cancers where the expected …

Sin obras prominentes en esta página.

  • P2-266 Relative vs cancer-specific survival

    Diana Sarfati, Thomas Blakely et al.•ARTICLE•Journal of Epidemiology and…•2011

    Introduction Cancer-specific and relative survival analyses are the two main methods of estimating net cancer survival. Bias through misclassification of cause of death is well recognised for cancer-specific survival, but to date there has been no systematic examination of the potential bias from using an external comparison group for relative survival. This latter bias may be particularly important for smoking-related cancers where the expected …

  • Health impact assessment

    Ben Harris-Roxa, Ben Harris-Roxas et al.•ARTICLE•Impact Assessment and Project…•2012

    Health impact assessment (HIA) has matured as a form of impact assessment over the past two decades. The use of HIA methods and approaches has expanded rapidly, and it now has applications in both the public and private sectors and in an increasing number of countries around the world. This paper presents an overview of the historical and recent international developments in HIA, before detailing the existing strengths, weaknesses, opportunities …

  • Australia’s Ongoing Legacy of Asbestos

    Open Access•Matthew Soeberg, Deborah Vallance et al.•ARTICLE•International Journal of…•2018

    The most effective way of reducing the global burden of asbestos-related diseases is through the implementation of asbestos bans and minimising occupational and non-occupational exposure to respirable asbestos fibres. Australia's asbestos consumption peaked in the 1970s with Australia widely thought to have had among the highest per-capita asbestos consumption level of any country. Australia's discontinuation of all forms of asbestos and asbestos…

Medicine (3 obras) · Environmental health (2 obras) · Geography (2 obras) · Political science (2 obras) · Asbestos (1 obras) · Bladder cancer (1 obras) · Cancer (1 obras) · Cancer registry (1 obras) · Colorectal Cancer Screening and Detection (1 obras) · Computer Science (1 obras)

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