Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Maria E Arriaga"'
Autor:
Maarit A Laaksonen, Maria E Arriaga, Karen Canfell, Robert MacInnis, Peter Hull, Emily Banks, Graham G Giles, Paul Mitchell, Robert G Cumming, Julie E Byles, Dianna J Magliano, Jonathan Shaw, Anne Taylor, Tiffany K Gill, Vasant Hirani, Julie Marker, Susan McCullough, Louiza S Velentzis, Barbara-Ann Adelstein
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction The cancer burden preventable through modifications to risk factors can be quantified by calculating their population attributable fractions (PAFs). PAF estimates require large, prospective data to inform risk estimates and contemporary
Externí odkaz:
https://doaj.org/article/df5dc0651f08472f8f387625636dbded
Autor:
Claire M. Vajdic, Paul Mitchell, Elizabeth Klaes, Jonathan E. Shaw, Maarit A. Laaksonen, Dianna J. Magliano, Maria E Arriaga, Vasant Hirani, Karen Canfell, Emily Banks, Tiffany K. Gill, Louiza S. Velentzis, Graham G. Giles, Julie Byles, Robert G. Cumming, Robert J. MacInnis
Publikováno v:
Gynecologic oncology. 153(3)
Objective Evidence on the endometrial and ovarian cancer burden preventable through modifications to current causal behavioural and hormonal exposures is limited. Whether the burden differs by population subgroup is unknown. Methods We linked pooled
Autor:
Jonathan E. Shaw, Robert J. MacInnis, Louiza S. Velentzis, Maria E Arriaga, Paul Mitchell, Graham G. Giles, Peter Hull, Julie Byles, Robert G. Cumming, Anne W. Taylor, Karen Canfell, Vasant Hirani, Dianna J. Magliano, Barbara-Ann Adelstein, Susan McCullough, Maarit A. Laaksonen, Julie Marker, Tiffany K. Gill, Emily Banks
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
IntroductionThe cancer burden preventable through modifications to risk factors can be quantified by calculating their population attributable fractions (PAFs). PAF estimates require large, prospective data to inform risk estimates and contemporary p
Autor:
Susan McCullough, Paul Mitchell, Emily Banks, Maarit A. Laaksonen, Julie Byles, Tiffany K. Gill, Vasant Hirani, Maria E Arriaga, Anne W. Taylor, Barbara-Ann Adelstein, Dianna J. Magliano, Karen Canfell, Jonathan E. Shaw, Robert G. Cumming, Claire M. Vajdic, Robert J. MacInnis, Graham G. Giles
Background Knowledge of preventable disease and differences in disease burden can inform public health action to improve health and health equity. We quantified the future lung cancer burden preventable by behavioural modifications across Australia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d22d76fc56a313f80d219cae0a7f202
https://hdl.handle.net/2123/21955
https://hdl.handle.net/2123/21955
Autor:
Paul Mitchell, Barbara-Ann Adelstein, Maarit A. Laaksonen, Julie Byles, Karen Canfell, Dianna J. Magliano, Anne W. Taylor, Maria E Arriaga, Robert G. Cumming, Julie Marker, Tiffany K. Gill, Graham G. Giles, Robert J. MacInnis, Emily Banks, Peter Hull, Vasant Hirani, Jonathan E. Shaw, Claire M. Vajdic
Publikováno v:
JNCI Cancer Spectrum
Background Previous estimates of the colorectal cancer (CRC) burden attributed to behaviors have not considered joint effects, competing risk, or population subgroup differences. Methods We pooled data from seven prospective Australian cohort studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9c37328867ace442e0e63dcd8410a1e
https://hdl.handle.net/2123/21965
https://hdl.handle.net/2123/21965
Autor:
Wayne B. Dyer, Magdalena Czubala, Bin Wang, Choo Beng Chew, Maria E Arriaga, Kabo Matlho, Nitin K. Saksena, Dominic E. Dwyer
Publikováno v:
American Journal of Infectious Diseases. 8:115-122
We performed sequence analysis of HIV-1 proviral protease gene fragment (560 base pairs) amplified from ex-vivo peripheral blood mononuclear cells of 83 HIV+ individuals with Below Detectable Levels (BDL) (
Autor:
Robert J. MacInnis, Kay Price, Jonathan E. Shaw, Maarit A. Laaksonen, Karen Canfell, Paul Mitchell, Emily Banks, Barbara-Ann Adelstein, Dianna J. Magliano, Robert G. Cumming, Claire M. Vajdic, Anne W. Taylor, Maria E Arriaga, Vasant Hirani, Graham G. Giles, Peter Hull, Julie Byles
Publikováno v:
Cancer Research. 77:2279-2279
Aim: To quantify the burden of colorectal cancer in Australia avoidable by modifications to established lifestyle-related risk factors: smoking, excess body weight, excessive red and processed meat consumption, excessive alcohol consumption and physi
Autor:
Maarit A. Laaksonen, Robert J. MacInnis, Maria E Arriaga, Kay Price, Paul Mitchell, Graham G. Giles, Barbra-Ann Adelstein, Anne W. Taylor, Robert G. Cumming, Julie Byles, Vasant Hirani, Dianna J. Magliano, Claire M. Vajdic, Jonathan E. Shaw, Karen Canfell, Emily Banks
Publikováno v:
Cancer Research. 77:2283-2283
Aim: To estimate the proportion of exocrine pancreatic cancers in Australia that can be attributed to the established risk factors, smoking and excess body weight, and the suggested risk factors, excessive alcohol consumption and excessive red and pr
Autor:
Paul Mitchell, Maarit A. Laaksonen, Barbara-Ann Adelstein, Graham G. Giles, Peter Hull, Maria E Arriaga, Robert G. Cumming, Vasant Hirani, Karen Canfell, Robert J. MacInnis, Kay Price, Emily Banks, Claire M. Vajdic, Jonathan E. Shaw, Julie Byles, Anne W. Taylor, Dianna J. Magliano
Publikováno v:
Cancer Research. 77:2280-2280
Aim: The cancer burden avoidable through risk factor modification can be quantified using the Population Attributable Fraction (PAF) which combines estimates of the prevalence of the risk factor exposure in the population and the strength of the expo
Autor:
Paul Mitchell, Robert G. Cumming, Karen Canfell, Maarit A. Laaksonen, Emily Banks, Maria E Arriaga, Barbara-Ann Adelstein, Kay Price, Jonathan E. Shaw, Vasant Hirani, Claire M. Vajdic, Graham G. Giles, Peter Hull, Robert J. MacInnis, Julie Byles, Anne W. Taylor, Dianna J. Magliano
Publikováno v:
BMJ Open
PurposeTo estimate the Australian cancer burden attributable to lifestyle-related risk factors and their combinations using a novel population attributable fraction (PAF) method that accounts for competing risk of death, risk factor interdependence a