Multivariable flexible modelling for estimating complete, smoothed life tables for sub-national populations

BMC Public Health

Volumn 15, Issue 1, 2015, Pages

  Rachet, Bernard ^a   Maringe, Camille ^a   Woods, Laura M ^a   Ellis, Libby ^a   Spika, Devon ^a   Allemani, Claudia ^a  

^a LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

Cubic splines; Deprivation; Generalised linear model; Life expectancy; Life tables; Model life tables; Mortality rates; Small areas

Indexed keywords

ADULT; DISEASE SIMULATION; HUMAN; INFANT MORTALITY; LIFE EXPECTANCY; LIFE TABLE; MAJOR CLINICAL STUDY; MORTALITY RATE; POPULATION MODEL; RANDOM SAMPLE; SAMPLING; ADOLESCENT; AGED; CHILD; ENGLAND; EPIDEMIOLOGY; FEMALE; INFANT; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEWBORN; POISSON DISTRIBUTION; PRESCHOOL CHILD; STATISTICAL MODEL; VERY ELDERLY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CHILD; CHILD, PRESCHOOL; ENGLAND; FEMALE; HUMANS; INFANT; INFANT, NEWBORN; LIFE EXPECTANCY; LIFE TABLES; MALE; MIDDLE AGED; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; POISSON DISTRIBUTION; YOUNG ADULT;

EID: 84969766939     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/s12889-015-2534-3     Document Type: Article

References (25)

1. Woods LM, Rachet B, Riga M, Stone SN, Shah A, Coleman MP. Geographical variation in life expectancy at birth in England and Wales is largely explained by deprivation. J Epidemiol Community Health. 2005;59:115-20.
2. Brass W. On the scale of mortality. In: Brass W, editor. Biological aspects of demography. London: Taylor and Francis; 1971. p. 69-110.
3. Ewbank DC, Gomez de Leon JC, Stoto MA. A reducible four-parameter system of model life tables. Pop Studies. 1983;37:105-29.
4. Elandt-Johnson RC, Johnson NL. Survival models and data analysis (Wiley Series in Probability and Mathematical Statistics). Indianapolis: Wiley; 1980.
5. Akima H. A method of univariate interpolation that has the accuracy of a third-degree polynomial. ACM Trans Math Softw. 1991;17(3):341-66.
6. Anderson RN. Method for constructing complete annual US life tables: National Center for Health Statistics. 1999.
7. Cancer Research UK Cancer Survival Group. Life tables for England and Wales by sex, calendar period, region and deprivation. London School of Hygiene & Tropical Medicine. 2004. http://www.lshtm.ac.uk/eph/ncde/cancersurvival/tools/index.html, accessed on 8th December 2015.
8. Baili P, Micheli A, Montanari A, Capocaccia R. Comparison of four methods for estimating complete life tables from abridged life tables using mortality data supplied to EUROCARE-3. Math Popul Stud. 2005;12:183-98.
9. Kostaki A. A relational technique for estimating the age-specific mortality pattern from grouped data. Math Popul Stud. 2000;9(1):83-95. doi: 10.1080/08898480009525496.
10. Gompertz B. On the Nature of the Function Expressive of the Law of Human Mortality, and on a New Mode of Determining the Value of Life Contingencies. Philos Trans R Soc Lond. 1825;115:513-83.
11. Royston P, Sauerbrei W. Multivariable modeling with cubic regression splines: a principled approach. Stata J. 2007;7:45-70.
12. Townsend P, Phillimore P, Beattie A. Health and deprivation: inequality and the North. London: Croom Helm; 1988.
13. Global Burden of Disease Study 2010. Global Burden of Disease Study 2010 (GBD 2010) Mortality Results 1970-2010. Seattle: Institute for Health Metrics and Evaluation (IHME); 2012.
14. World Health Organization. Global Health Observatory Data Repository. http://apps.who.int/gho/data/node.main.692?lang=en, accessed on 8th December 2015.
15. World Health Organization. Life tables. 2007. http://www.who.int/whosis/database/life-tables/life-tables.cfm accessed on 8th December 2015.
16. UN Population Division. World population prospects: the 2012 revision. Volume I: comprehensive tables. ST/ESA/SER.A/336. New York: UN Department of Economic and Social Affairs; 2013.
17. Government Actuary's Department. English Life Tables. 2002. http://www.gad.gov.uk, accessed on 8th December 2015.
18. Akaike H. A new look at the statistical model identification. IEEE Trans Autom Control. 1974;19:716-23.
19. Allemani C, Weir HK, Carreira H, Harewood R, Spika D, Wang X-S, et al. Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2). Lancet. 2015;385:977-1010.
20. Spika D, Rachet B, Bannon F, Woods LM, Maringe C, Bonaventure A, et al. Life tables for the CONCORD-2 study. Cancer Research UK Cancer Survival Group, London. 2015. http://csg.lshtm.ac.uk/tools-analysis/life-tables/, accessed on 8th December 2015.
21. Fledelius P, Guillen M, Nielsen JP, Vogelius M. Two-dimensional Hazard Estimation for Longevity Analysis. Scand Actuar J. 2004;2004(2):133-56. doi: 10.1080/034612301101016516.
22. Felipe A, Guillen M, Nielsen JP. Longevity studies based on kernel hazard estimation. Insur: Math Econ. 2001;28(2):191-204. doi: http://dx.doi.org/10.1016/S0167-6687(00)00076-7.
23. Debón A, Montes F, Sala R. A Comparison of Nonparametric Methods in the Graduation of Mortality: Application to Data from the Valencia Region (Spain). Int Stat Rev. 2006;74(2):215-33. doi: 10.1111/j.1751-5823.2006.tb00171.x.
24. Brouhns N, Denuit M, Vermunt JK. A Poisson log-bilinear regression approach to the construction of projected lifetables. Insur: Math Econ. 2002;31(3):373-93. doi:http://dx.doi.org/ 10.1016/S0167-6687(02)00185-3.
25. Coale AJ, Demeny P, Vaughan B. Regional Model Life Tables and Stable Populations (Second Edition). New York: Academic Press; 1983.