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Published in: BMC Public Health 1/2013

Open Access 01-12-2013 | Software

REGSTATTOOLS: freeware statistical tools for the analysis of disease population databases used in health and social studies

Authors: Laura Esteban, Ramon Clèries, Jordi Gálvez, Laura Pareja, Josep Maria Escribà, Xavier Sanz, Ángel Izquierdo, Jaume Galcerán, Josepa Ribes

Published in: BMC Public Health | Issue 1/2013

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Abstract

Background

The repertoire of statistical methods dealing with the descriptive analysis of the burden of a disease has been expanded and implemented in statistical software packages during the last years. The purpose of this paper is to present a web-based tool, REGSTATTOOLS http://​regstattools.​net intended to provide analysis for the burden of cancer, or other group of disease registry data. Three software applications are included in REGSTATTOOLS: SART (analysis of disease’s rates and its time trends), RiskDiff (analysis of percent changes in the rates due to demographic factors and risk of developing or dying from a disease) and WAERS (relative survival analysis).

Results

We show a real-data application through the assessment of the burden of tobacco-related cancer incidence in two Spanish regions in the period 1995–2004. Making use of SART we show that lung cancer is the most common cancer among those cancers, with rising trends in incidence among women. We compared 2000–2004 data with that of 1995–1999 to assess percent changes in the number of cases as well as relative survival using RiskDiff and WAERS, respectively. We show that the net change increase in lung cancer cases among women was mainly attributable to an increased risk of developing lung cancer, whereas in men it is attributable to the increase in population size. Among men, lung cancer relative survival was higher in 2000–2004 than in 1995–1999, whereas it was similar among women when these time periods were compared.

Conclusions

Unlike other similar applications, REGSTATTOOLS does not require local software installation and it is simple to use, fast and easy to interpret. It is a set of web-based statistical tools intended for automated calculation of population indicators that any professional in health or social sciences may require.
Appendix
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Literature
1.
go back to reference Tomatis L, Aitio A, Day N, Heseltine E, Kaldor J, Miller A, Parkin D, Riboli E: Cancer: causes,occurrence and control. 1990, Lyon: IARC Scientific Publications Nr 100 Tomatis L, Aitio A, Day N, Heseltine E, Kaldor J, Miller A, Parkin D, Riboli E: Cancer: causes,occurrence and control. 1990, Lyon: IARC Scientific Publications Nr 100
2.
go back to reference Esteve J, Benhamou E, Raymond L: Statistical methods in cancer research. Descriptive epidemiology. IARC Sci Publ. 1994, IV: 1-302. Esteve J, Benhamou E, Raymond L: Statistical methods in cancer research. Descriptive epidemiology. IARC Sci Publ. 1994, IV: 1-302.
3.
go back to reference Bray F, Moller B: Predicting the future burden of cancer. Nat Rev Cancer. 2006, 6: 63-74. 10.1038/nrc1781.CrossRefPubMed Bray F, Moller B: Predicting the future burden of cancer. Nat Rev Cancer. 2006, 6: 63-74. 10.1038/nrc1781.CrossRefPubMed
5.
go back to reference De Angelis G, De Angelis R, Frova L, Verdecchia A: MIAMOD: a computer package to estimate chronic disease morbidity using mortality and survival data. Comput Methods Programs Biomed. 1994, 44: 99-107. 10.1016/0169-2607(94)90091-4.CrossRefPubMed De Angelis G, De Angelis R, Frova L, Verdecchia A: MIAMOD: a computer package to estimate chronic disease morbidity using mortality and survival data. Comput Methods Programs Biomed. 1994, 44: 99-107. 10.1016/0169-2607(94)90091-4.CrossRefPubMed
6.
go back to reference Verdecchia A, De Angelis G, Capocaccia R: Estimation and projections of cancer prevalence from cancer registry data. Stat Med. 2002, 21: 3511-3526. 10.1002/sim.1304.CrossRefPubMed Verdecchia A, De Angelis G, Capocaccia R: Estimation and projections of cancer prevalence from cancer registry data. Stat Med. 2002, 21: 3511-3526. 10.1002/sim.1304.CrossRefPubMed
7.
go back to reference Schmid V, Held L: Bayesian age-period-cohort modeling and prediction - BAMP. J Stat Softw. 2007, 21 (8): 1-15.CrossRef Schmid V, Held L: Bayesian age-period-cohort modeling and prediction - BAMP. J Stat Softw. 2007, 21 (8): 1-15.CrossRef
8.
go back to reference Kim HJ, Fay MP, Feuer EJ, Midthume DN: Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000, 19: 335-351. 10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z.CrossRefPubMed Kim HJ, Fay MP, Feuer EJ, Midthume DN: Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000, 19: 335-351. 10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z.CrossRefPubMed
9.
go back to reference Dickman PW, Hakulinen T, Voutilaninen ET: SURV3, Relative survival analysis. 2000, Ref Type: Unpublished Work Dickman PW, Hakulinen T, Voutilaninen ET: SURV3, Relative survival analysis. 2000, Ref Type: Unpublished Work
10.
go back to reference Yu B, Tiwari RC, Cronin KA, McDonald C, Feuer EJ: CANSURV: a windows program for population-based cancer survival analysis. Comput Methods Programs Biomed. 2005, 80: 195-203. 10.1016/j.cmpb.2005.08.002.CrossRefPubMed Yu B, Tiwari RC, Cronin KA, McDonald C, Feuer EJ: CANSURV: a windows program for population-based cancer survival analysis. Comput Methods Programs Biomed. 2005, 80: 195-203. 10.1016/j.cmpb.2005.08.002.CrossRefPubMed
11.
go back to reference Geiss K, Meyer M, Radespiel-Troger M, Gefeller O: SURVSOFT-Software for nonparametric survival analysis. Comput Methods Programs Biomed. 2009, 96: 63-71. 10.1016/j.cmpb.2009.04.002.CrossRefPubMed Geiss K, Meyer M, Radespiel-Troger M, Gefeller O: SURVSOFT-Software for nonparametric survival analysis. Comput Methods Programs Biomed. 2009, 96: 63-71. 10.1016/j.cmpb.2009.04.002.CrossRefPubMed
12.
go back to reference Segi M, FUKUSHIMA I, Kurihara M: A proposal on a calculation method to be applied by geographical comparison of cancer mortality. Tohoku J Exp Med. 1954, 60: 307-310. 10.1620/tjem.60.307.CrossRefPubMed Segi M, FUKUSHIMA I, Kurihara M: A proposal on a calculation method to be applied by geographical comparison of cancer mortality. Tohoku J Exp Med. 1954, 60: 307-310. 10.1620/tjem.60.307.CrossRefPubMed
13.
go back to reference Rothman KJ, Greenland S: Modern epidemiology. 1998, Philadelphia: Lippincott Williams & Wilkins Rothman KJ, Greenland S: Modern epidemiology. 1998, Philadelphia: Lippincott Williams & Wilkins
14.
go back to reference Bray F: Age-standardization. Cancer incidence in five continents, volume VIII. IARC scientific publications No. 155. Edited by: Parkin DM, Whelan SL, Ferlay J, Teppo L, Thomas DB. 2002, Lyon: International Agency for Research on Cancer, 87-89. Bray F: Age-standardization. Cancer incidence in five continents, volume VIII. IARC scientific publications No. 155. Edited by: Parkin DM, Whelan SL, Ferlay J, Teppo L, Thomas DB. 2002, Lyon: International Agency for Research on Cancer, 87-89.
15.
go back to reference Estève J, Benhamou E, Raymond L: Statistical Methods in Cancer Research (Vol. IV). 1994, Lyon: IARC Scientific Publications, No 128 Estève J, Benhamou E, Raymond L: Statistical Methods in Cancer Research (Vol. IV). 1994, Lyon: IARC Scientific Publications, No 128
16.
go back to reference Hakulinen T, Hakama M: Predictions of epidemiology and the evaluation of cancer control measures and the setting of policy priorities. Soc Sci Med. 1991, 33: 1379-1383. 10.1016/0277-9536(91)90282-H.CrossRefPubMed Hakulinen T, Hakama M: Predictions of epidemiology and the evaluation of cancer control measures and the setting of policy priorities. Soc Sci Med. 1991, 33: 1379-1383. 10.1016/0277-9536(91)90282-H.CrossRefPubMed
17.
go back to reference Dyba T, Hakulinen T: Comparison of different approaches to incidence prediction based on simple interpolation techniques. Stat Med. 2000, 19: 1741-1752. 10.1002/1097-0258(20000715)19:13<1741::AID-SIM496>3.0.CO;2-O.CrossRefPubMed Dyba T, Hakulinen T: Comparison of different approaches to incidence prediction based on simple interpolation techniques. Stat Med. 2000, 19: 1741-1752. 10.1002/1097-0258(20000715)19:13<1741::AID-SIM496>3.0.CO;2-O.CrossRefPubMed
18.
go back to reference McCullagh P, Nelder J: Generalized linear models. 1989, London: Chapman & HallCrossRef McCullagh P, Nelder J: Generalized linear models. 1989, London: Chapman & HallCrossRef
19.
go back to reference Akaike H: IEEE transactions on automatic control 19. IEEE Trans Autom Control. 1974, 19 (6): 716-723. 10.1109/TAC.1974.1100705.CrossRef Akaike H: IEEE transactions on automatic control 19. IEEE Trans Autom Control. 1974, 19 (6): 716-723. 10.1109/TAC.1974.1100705.CrossRef
20.
go back to reference Bashir SA, Estève J: Projecting cancer incidence and mortality using Bayesian age-period-cohort models. J Epidemiol Bioestat. 2001, 6: 287-296. 10.1080/135952201317080698.CrossRef Bashir SA, Estève J: Projecting cancer incidence and mortality using Bayesian age-period-cohort models. J Epidemiol Bioestat. 2001, 6: 287-296. 10.1080/135952201317080698.CrossRef
21.
go back to reference Ederer F, Axtell LM, Cutler SJ: The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr. 1961, 6: 101-121.PubMed Ederer F, Axtell LM, Cutler SJ: The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr. 1961, 6: 101-121.PubMed
22.
go back to reference Hakulinen T: Cancer survival corrected for heterogeneity in patient withdrawal. Biometrics. 1982, 38: 933-942. 10.2307/2529873.CrossRefPubMed Hakulinen T: Cancer survival corrected for heterogeneity in patient withdrawal. Biometrics. 1982, 38: 933-942. 10.2307/2529873.CrossRefPubMed
23.
go back to reference Cleries R, Ribes J, Moreno V, Esteban L, Pareja L, Galvez J, Martinez JM, Bosch FX, Borras JM: Relative survival computation. Comparison of methods for estimating expected survival. Gac Sanit. 2006, 20: 325-331. 10.1157/13091149.CrossRefPubMed Cleries R, Ribes J, Moreno V, Esteban L, Pareja L, Galvez J, Martinez JM, Bosch FX, Borras JM: Relative survival computation. Comparison of methods for estimating expected survival. Gac Sanit. 2006, 20: 325-331. 10.1157/13091149.CrossRefPubMed
24.
go back to reference Perme MP, Stare J, Esteve J: On estimation in relative survival. Biometrics. 2012, 68: 113-120. 10.1111/j.1541-0420.2011.01640.x.CrossRefPubMed Perme MP, Stare J, Esteve J: On estimation in relative survival. Biometrics. 2012, 68: 113-120. 10.1111/j.1541-0420.2011.01640.x.CrossRefPubMed
25.
go back to reference Galceran J, Puigdefabregas A, Ribas G, Izquierdo A, Pareja L, Marcos-Gragera R: [Cancer survival trends in Catalonia and comparison with Europe]. Med Clin (Barc.). 2008, 131 (Suppl 1): 19-24.CrossRef Galceran J, Puigdefabregas A, Ribas G, Izquierdo A, Pareja L, Marcos-Gragera R: [Cancer survival trends in Catalonia and comparison with Europe]. Med Clin (Barc.). 2008, 131 (Suppl 1): 19-24.CrossRef
26.
go back to reference Gispert R, Cleries R, Puigdefabregas A, Freitas A, Esteban L, Ribes J: [Cancer mortality trends in Catalonia, 1985–2004. Med Clin (Barc.). 2008, 131 (Suppl 1): 25-31.CrossRef Gispert R, Cleries R, Puigdefabregas A, Freitas A, Esteban L, Ribes J: [Cancer mortality trends in Catalonia, 1985–2004. Med Clin (Barc.). 2008, 131 (Suppl 1): 25-31.CrossRef
27.
go back to reference Esteban L, Cleries R, Langohr K, Galvez J, Pareja L, Escriba JM, Ribes J: [Statistical analysis of rates and trends (SART): a web-based tool for statistical calculation of population indicators]. Gac Sanit. 2011, 25: 427-431. 10.1016/j.gaceta.2011.04.004.CrossRefPubMed Esteban L, Cleries R, Langohr K, Galvez J, Pareja L, Escriba JM, Ribes J: [Statistical analysis of rates and trends (SART): a web-based tool for statistical calculation of population indicators]. Gac Sanit. 2011, 25: 427-431. 10.1016/j.gaceta.2011.04.004.CrossRefPubMed
28.
go back to reference Valls J, Cleries R, Galvez J, Moreno V, Gispert R, Borras JM, Ribes JRD: A web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data. BMC Publ Health. 2009, 9: 473-10.1186/1471-2458-9-473.CrossRef Valls J, Cleries R, Galvez J, Moreno V, Gispert R, Borras JM, Ribes JRD: A web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data. BMC Publ Health. 2009, 9: 473-10.1186/1471-2458-9-473.CrossRef
29.
go back to reference Cleries R, Valls J, Esteban L, Galvez J, Pareja L, Sanz X, Alliste L, Martinez JM, Moreno V, Bosch X, Borras JM, Ribes JM: WAERS: an application for Web-assisted estimation of relative survival. Med Inform Internet Med. 2007, 32: 169-175. 10.1080/14639230601185575.CrossRefPubMed Cleries R, Valls J, Esteban L, Galvez J, Pareja L, Sanz X, Alliste L, Martinez JM, Moreno V, Bosch X, Borras JM, Ribes JM: WAERS: an application for Web-assisted estimation of relative survival. Med Inform Internet Med. 2007, 32: 169-175. 10.1080/14639230601185575.CrossRefPubMed
30.
go back to reference Davis ME, Phillips JA: Learning PHP and MySQL. 2007, California, US: O’ReillyMedia Inc. Gravenstein Davis ME, Phillips JA: Learning PHP and MySQL. 2007, California, US: O’ReillyMedia Inc. Gravenstein
31.
go back to reference R Development Core Team: R: A language and environment for statistical computing. c, Vienna, Austria: R Foundation for Statistical Computing, http://www.R-project.org. 2008 Ref Type: Electronic Citation, ISBN 3-900051-07-0 R Development Core Team: R: A language and environment for statistical computing. c, Vienna, Austria: R Foundation for Statistical Computing, http://​www.​R-project.​org. 2008 Ref Type: Electronic Citation, ISBN 3-900051-07-0
Metadata
Title
REGSTATTOOLS: freeware statistical tools for the analysis of disease population databases used in health and social studies
Authors
Laura Esteban
Ramon Clèries
Jordi Gálvez
Laura Pareja
Josep Maria Escribà
Xavier Sanz
Ángel Izquierdo
Jaume Galcerán
Josepa Ribes
Publication date
01-12-2013
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2013
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-13-201

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