Life tables for global surveillance of cancer survival (the CONCORD programme): data sources and methods

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documentation indefinite Additional information on the selection of knot locations for the flexible Poisson model. https://doi.org/10.6084/m9.figshare.c.3704431_D4 3626 2 12421 document 3626 File2-Race_ethnic-specific_life_tables_using_continuous.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 5d2340009fb50b1bd20bfe9800c4fe50aa6899d6e7a78374a338e2a3b5106d30 SHA256 13883 2017-03-06 12:30:41 https://datacompass.lshtm.ac.uk/id/eprint/335/2/File2-Race_ethnic-specific_life_tables_using_continuous.docx 335 2 2 application/vnd.openxmlformats-officedocument.wordprocessingml.document Text en public cc_by

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documentation indefinite Model for constructing race/ethnic-specific life tables using a continuous interaction term between race and age. https://doi.org/10.6084/m9.figshare.c.3704431_D5 3627 2 12423 document 3627 File3-CONCORD-2_life_tables_Denmark.pdf application/pdf bcb8fd72dda5456f3e0050cee91f1ef8ffa1899af1728ae187c98663608712a2 SHA256 39076 2017-03-06 12:30:43 https://datacompass.lshtm.ac.uk/id/eprint/335/3/File3-CONCORD-2_life_tables_Denmark.pdf 335 3 3 application/pdf Text en public cc_by

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data indefinite Background mortality in 327 populations covered by 279 registries during 1995–2009. https://doi.org/10.6084/m9.figshare.c.3704431_D2 3629 2 12427 document 3629 File5-Race-ethnic_life_tables_using_dummy_terms.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document e7db17bbea26179c32d3c0d14d5b720867cfd1fd6e78c5590e6abd84f8049860 SHA256 16542 2017-03-06 12:30:47 https://datacompass.lshtm.ac.uk/id/eprint/335/5/File5-Race-ethnic_life_tables_using_dummy_terms.docx 335 5 5 application/vnd.openxmlformats-officedocument.wordprocessingml.document Text en public cc_by

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documentation indefinite Alternative model for constructing race/ethnic-specific life tables using dummy interaction terms. https://doi.org/10.6084/m9.figshare.c.3704431_D3 3632 1 12462 document 3632 indexcodes.txt text/plain 21bbd371ab5d01481ffb8490c0a11db272708e50abe8421383eec80607c46b7a SHA256 1314 2017-03-06 13:40:41 https://datacompass.lshtm.ac.uk/id/eprint/335/6/indexcodes.txt 335 6 6 text/plain other en public

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http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/3627 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/3627 http://eprints.org/relation/issmallThumbnailVersionOf https://datacompass.lshtm.ac.uk/id/document/3627 indefinite Thumbnails conversion from Text to thumbnail_small archive 3 disk0/00/00/03/35 2017-03-06 12:38:08 2021-07-09 11:22:10 2017-03-06 12:38:08 data_collection show Spika Devon TRUE dd49566cdf1f429724686b7404330b4a Bannon Finian TRUE aa7417be7b5e306423280041d02d5f08 Bonaventure Audrey TRUE e6d443d958648f8021e704b8de627461 Woods Laura M 0000-0002-2178-1577 TRUE ef954bf0a9eaa52e59604d2c30ac585e Harewood Rhea TRUE 5c0a44415f75a96ed9cd2bc3927b4ac6 Carreira Helena 0000-0003-1538-2526 TRUE 0e36d3e4866ff80ce56610bfb5da1155 Coleman Michel P 0000-0001-8940-3807 TRUE 835c373a51a1c115a24ad85844fbd3ac Allemani Claudia 0000-0003-4871-3766 TRUE 9ede4ffc3b20083c9dd377215b06c3d4 London School of Hygiene & Tropical Medicine Life tables for global surveillance of cancer survival (the CONCORD programme): data sources and methods EPNC Life tables Mortality Life expectancy Generalised linear model Cubic splines Global health Net survival We set out to estimate net survival trends for 10 common cancers in 279 cancer registry populations in 67 countries around the world, as part of the CONCORD-2 study. Net survival can be interpreted as the proportion of cancer patients who survive up to a given time, after eliminating the impact of mortality from other causes (background mortality). Background mortality varies widely between populations and over time. It was therefore necessary to construct robust life tables that accurately reflected the background mortality in each of the registry populations. Life tables of all-cause mortality rates by single year of age and sex were constructed by calendar year for each population and, when possible, by racial or ethnic sub-groups. We used three different approaches, based on the type of mortality data available from each registry. With death and population counts, we adopted a flexible multivariable modelling approach. With unsmoothed mortality rates, we used the Ewbank relational method. Where no data were available from the registry or a national statistical office, we used the abridged UN Population Division life tables and interpolated these using the Elandt-Johnson method. We also investigated the impact of using state- and race-specific life tables versus national race-specific life tables on estimates of net survival from four adult cancers in the United States (US). 2017-02-27 published Figshare 10.6084/m9.figshare.c.3704431 Dataset London School of Hygiene & Tropical Medicine Aggregation public Canadian Partnership Against Cancer Cancer Focus Northern Ireland Cancer Institute New South Wales Cancer Research UK US Centers for Disease Control and Prevention Swiss Re Swiss Cancer Research foundation Swiss Cancer League University of Kentucky Dataset Quantitative en Life tables for global surveillance of cancer survival (the CONCORD programme): data sources and methods. http://researchonline.lshtm.ac.uk/id/eprint/3558799 Canadian Partnership Against Cancer Cancer Focus Northern Ireland Cancer Institute New South Wales Cancer Research UK US Centers for Disease Control and Prevention Swiss Re Swiss Cancer Research foundation Swiss Cancer League University of Kentucky 2017-02-27