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  • Tables
    by selecting the Save Image as option Line charts Age specific curves Cumulative risk by age Time trends Time trends by age Time trends by birth cohort Bar chart Pie chart Population pyramid IARC 150 Cours Albert Thomas 69372 Lyon

    Original URL path: http://www-dep.iarc.fr/WHOdb/graphs_sel.htm (2015-11-09)
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  • Predicitons
    term predictions are computed using a program developed by M Colombet J Ferlay and G Byrnes at the IARC based on T Dyba and T Hakulinen 2 3 methods For a selected combination of country cancer sex and a latest year of observation the age period models require at least six consecutive years of data with at least 50 deaths all ages recorded per year The results are presented by age groups and for all ages combined together with their corresponding prediction interval The change in the number of predicted cancer deaths to the latest year of observation is divided into one part due to change in risk of dying from cancer and another one due to changes in the population size and age distribution Graphical representations of the results are provided Long term predictions more than five years Long term predictions are computed using the NORDPRED package developed by Harald Fekjær and Bjørn Møller at the Cancer Registry of Norway For a selected combination of country cancer sex and a latest year of observation the model requires at least fifteen years of consecutive data in order to build at least three 5 year periods with at least 100 deaths all ages recorded per 5 year period It can predict up to five 5 year periods The results are presented by age groups and for all ages combined For each predicted period the change in the number of predicted cancer deaths to the latest period of observation is divided into one part due to change in risk of dying from cancer and another one due to changes in the population size and age distribution Graphical representations of the results are provided References 1 Bray F Møller B Predicting the future burden of cancer Nat Rev cancer 2006 6 63 74

    Original URL path: http://www-dep.iarc.fr/WHOdb/predictions_sel.htm (2015-11-09)
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  • WHO mortality database
    and pharynx Lip oral cavity pharynx larynx and oesophagus Liver Lung Melanoma of skin Mesothelioma Multiple myeloma Nasopharynx Non Hodgkin lymphoma Oesophagus Ovary Pancreas Prostate Rectum and anus Stomach Testis Thyroid Uterus Male Female Country Period Albania Argentina Armenia Australia Austria Azerbaijan Barbados Belarus Belgium Belize Brazil Bulgaria Canada Chile China Hong Kong China selected areas China selected rural areas China selected urban areas Colombia Costa Rica Croatia Cuba Czech Republic Czechoslovakia Denmark Dominican Republic Ecuador Egypt El Salvador Estonia Finland France FYROM Georgia Germany Greece Guatemala Hungary Iceland Ireland Israel Italy Japan Kazakhstan Kuwait Kyrgyzstan Latvia Lithuania Luxembourg Malta Mauritius Mexico New Zealand Nicaragua Norway Panama Paraguay Peru Philippines Poland Portugal Republic of Korea Republic of Moldova Romania Russian Federation Serbia Singapore Slovakia Slovenia South Africa Spain Suriname Sweden Switzerland Tajikistan Thailand The Netherlands Trinidad and Tobago Turkmenistan UK England and Wales UK Northern Ireland UK Scotland Ukraine United Kingdom United States of America Uruguay Uzbekistan Venezuela Starting 1987 1988 1989 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Ending 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1989

    Original URL path: http://www-dep.iarc.fr/WHOdb/graph10_sel.asp (2015-11-09)
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  • Glossary
    person years in the population at risk For cancer the result is usually expressed as an annual rate per 100 000 persons at risk ASR age standardised rate An age standardised rate ASR is a summary measure of the rate that a population would have if it had a standard age structure Standardization is necessary when comparing several populations that differ with respect to age because age has a powerful influence on the risk of dying from cancer The ASR is a weighted mean of the age specific rates the weights are taken from population distribution of the standard population The most frequently used standard population is the World Standard Population The calculated mortality rate is then called age standardised mortality rate world The world standard population used within the application is as proposed by Segi 1960 and modified by Doll and al 1996 The ASR is also expressed per 100 000 Age distribution of the world standard population Age group w i 0 4 12000 5 9 10000 10 14 9000 15 19 9000 20 24 8000 25 29 8000 30 34 6000 35 39 6000 40 44 6000 45 49 6000 50 54 5000 55 59 4000 60 64 4000 65 69 3000 70 74 2000 75 79 1000 80 84 500 85 500 Total 100000 Cumulative risk Cumulative mortality is the probability or risk of individuals dying from the disease during a specified period For cancer it is expressed as the number of new born children out of 100 or 1000 who would be expected to die from a particular cancer before the age of 75 or 80 or 85 if they had the rates of cancer observed in the period in the absence of competing causes Like the age standardised rate it permits comparisons between populations

    Original URL path: http://www-dep.iarc.fr/WHOdb/glossary.htm (2015-11-09)
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  • References
    index html accessed on 28 05 2015 Demographic data United Nations World Population Prospects the 2012 Revision http esa un org unpd wpp index htm IARC 150 Cours Albert Thomas 69372 Lyon CEDEX 08 France Tel 33 0 4 72

    Original URL path: http://www-dep.iarc.fr/WHOdb/references.htm (2015-11-09)
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  • links
    IARC WHO mortality databank http www who int healthinfo morttables en United Nations World Population Prospects the 2012 Revision Trends in national mortality rates mortrends IARC 150 Cours Albert Thomas 69372 Lyon CEDEX 08 France Tel 33 0 4 72

    Original URL path: http://www-dep.iarc.fr/WHOdb/links.htm (2015-11-09)
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  • WHO mortality database: Erratum
    update June 2015 IARC 150 Cours Albert Thomas 69372 Lyon CEDEX 08 France Tel 33 0 4 72 73 84 85 Fax 33 0 4 72 73 85 75 IARC

    Original URL path: http://www-dep.iarc.fr/WHOdb/erratum.htm (2015-11-09)
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  • NORDCAN
    NORDCAN

    Original URL path: http://www-dep.iarc.fr/NORDCAN/english/top.htm (2015-11-09)
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