Skip to main content

Cancer Registry Databases: An Overview of Techniques of Statistical Analysis and Impact on Cancer Epidemiology

  • Protocol
Cancer Epidemiology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 471))

Summary

Cancer registries provide systematically collected information on cancer incidence, prevalence, mortality, and survival of different cancers. Aggregated and de-identified patient-level information on cancer is available for analysis from individual cancer registries, nationally from the Surveillance, Epidemiology, and End Results program, the Centers for Diseases Control and Prevention, the North American Association of Central Cancer Registries; and internationally from the International Association of Cancer Registries. Over the past few decades, the type and extent of cancer-related information captured by different cancer registries have been greatly expanded by linkage with other population-based information sources, such as the census data and the Centers for Medicare and Medicaid Services claims data. In addition, sophisticated statistical analytical techniques have been developed that have greatly expanded the traditional purview of cancer registries focused on descriptive epidemiology and disease quantification to a much broader analytical horizon ranging from study of cancer etiology; rare cancers in specific demographic groups; interaction of environmental and genetic factors in causation of cancer; impact of co-morbidities, race, geographic, socioeconomic, and provider-related factors on access, diagnosis, and treatment; outcomes and end results of cancer treatment; and cancer control initiatives to diverse areas of cancer care disparity, public health policy, public health education, and importantly, cost-effectiveness of cancer care. Thus, it is not surprising that cancer registries have increasingly become indispensable parts of local, national, and international cancer control programs, and it is certain that cancer registries will continue to be extraordinary resources of information for clinicians, researchers, scientists, policy makers, and the public in our fight against cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Clive, R. E. (2004) Introduction to cancer registries, in Cancer Registry Management: Principles and Practice (Hutchison, C. L., ed.), Kendall Hunt Publishing, Dubuque, IA, pp. 1–9.

    Google Scholar 

  2. Parkin, D. M. (2006) The evolution of the population-based cancer registry. Nat. Rev. Cancer 6(8), 603–12.

    Article  CAS  PubMed  Google Scholar 

  3. Parkin, D. M., Chen, V. W., Ferlay, J., Gal-ceran, J., Storm, H. H., and Whelan, S. L. (1994) Comparability and quality control in cancer registration, in IARC Technical Report No. 19, International Agency for Research on Cancer, Lyon, France.

    Google Scholar 

  4. Jensen O. M. (ed.) (1991) Cancer Registration, Principles and Methods, No. 95, International Agency for Research on Cancer, Lyon, France.

    Google Scholar 

  5. Working Group of the International Association of Cancer Registries (2005) Guidelines for confidentiality in population-based cancer registration. Eur J Cancer Prev 14, 309–327.

    Article  Google Scholar 

  6. National Cancer Institute (2007) SEER statistical resources. http://seer.cancer.gov/ resources/. Cited 4 April 2007.

  7. Warren, J. L., Klabunde, C. N., Schrag, D., Bach, P. B., and Riley, G.F. (2002) Overview of the SEER-Medicare data, content, research applications, and generalizability to the United States elderly population. Med. Care 40, 5–18.

    Google Scholar 

  8. Spittle, M. F. (1998) Spectrum of AIDS-associated malignant disorders. Lancet 351(9119), 1833–9.

    Article  Google Scholar 

  9. Centers for Disease Control and Prevention (2007) National Center for Chronic Disease Prevention and Health Promotion. Behavioral Risk Factor Surveillance System. http://www.cdc.gov/brfss/index.htm. Cited 4 April 2007.

  10. National Center for Health Statistics (2007) National Health Interview Survey. http:// www.cdc.gov/nchs/nhis.htm. Cited 4 April 4 2007.

  11. National Center for Health Statistics (2007) National Hospital Discharge and Ambulatory Surgery Data. http://www.cdc. gov/nchs/about/major/hdasd/nhds.htm. Cited 4 April 2007.

  12. National Center for Health Statistics (2007) Ambulatory Health Care Data. http://www.cdc.gov/nchs/about/major/ahcd/ ahcd1.htm. Cited 4 April 2007.

  13. Harlan, L.C., and Hankey, B.F. (2003) The surveillance, epidemiology, and end-results program database as a resource for conducting descriptive epidemiologic and clinical studies. J Clin Oncol 21(12), 2232–3.

    Article  PubMed  Google Scholar 

  14. Hankey, B. F., Ries, L. A., and Edwards, B. K. (1999) The surveillance, epidemiology, and end results program: a national resource. Cancer Epidemiol Biomarkers Prev 8(12), 1117–21.

    CAS  PubMed  Google Scholar 

  15. Centers for Disease Control and Prevention (2007) National Program of Cancer Registries. http://www.cdc.gov/cancer/npcr/ about.htm. Cited 4 April 2007.

  16. National Cancer Institute (2007) SEER-Medicare Linked Database. http://health-services.cancer.gov/. Cited 4 April 2007.

  17. Clegg, L. X., Feuer, E. J., Midthune, D., Fay, M. P., and Hankey, B. F. (2002) Impact of reporting delay and reporting error on cancer incidence rates and trends. J Natl Cancer Inst 94, 1537–45.

    PubMed  Google Scholar 

  18. Midthune, D. N., Fay, M. P., Clegg, L. X., and Feuer, E. J. (2005) Modeling reporting delays and reporting corrections in cancer registry data. J Am Stat Assoc 100(469), 61–70.

    Article  CAS  Google Scholar 

  19. Merrill, R. M., and Feuer, E. J. (1996) Risk-adjusted cancer-incidence rates (United States). Cancer Causes Control 7(5), 544–52.

    Article  CAS  PubMed  Google Scholar 

  20. Fay, M. P. (2004) Estimating age conditional probability of developing disease from surveillance data. Popul Health Metr 2(1), 6.

    Article  PubMed  Google Scholar 

  21. Fay, M. P., Pfeiffer, R., Cronin, K. A.., Le, C., and Feuer, E. J. (2003) Age-conditional probabilities of developing cancer. Stat Med 22(11), 1837–48.

    Article  PubMed  Google Scholar 

  22. Kim, H. J., Fay, M. P., Feuer, E. J., and Midthune, D. N. (2000) Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 19, 335–51

    Article  CAS  PubMed  Google Scholar 

  23. Curtis, R. E., Freedman, D. M., Ron, E., Ries, L. A. G., Hacker, D. G., Edwards, B. K., Tucker, M. A., and Fraumeni, J. F., Jr. (eds) (2006) New malignancies among cancer survivors: SEER Cancer Registries, 1973–2000. National Cancer Institute. National Institutes of Health Publ. No. 05-5302. National Institutes of Health, Bethesda, MD.

    Google Scholar 

  24. Schoenberg, B. S., and Myers, M. H. (1977) Statistical methods for studying multiple primary malignant neoplasms. Cancer 40, 1892–1898.

    Article  CAS  PubMed  Google Scholar 

  25. Begg, C. B., Zhang, Z., Sun, M., Herr, H. W., and Schantz, S. P. (1995) Methodology for evaluating the incidence of second primary cancers with application to smoking-related cancer from the Surveillance, Epidemiology, and End Results (SEER) Program. Am J Epidemiol 142, 653–665.

    CAS  PubMed  Google Scholar 

  26. Fay, M. P., and Feuer, E. J. (1997) Confidence intervals for directly standardized rates: a method based on the Gamma distribution. Stat Med 16, 791–801.

    Article  CAS  PubMed  Google Scholar 

  27. Chu, K. C., Miller, B. A., Feuer, E. J., and Hankey, B. F. (1994) A method for partitioning cancer mortality trends by factors associated with diagnosis: an application to female breast cancer. J Clin Epidemiol 47(12), 1451–61.

    Article  CAS  PubMed  Google Scholar 

  28. Mariotto, A., Warren, J. L., Knopf, K. B., and Feuer, E. J. (2003) The prevalence of colorectal cancer patients under care in the US. Cancer 98, 1253–61.

    Article  PubMed  Google Scholar 

  29. Coldman, A. J., McBride, M. L., and Braun, T. (1992) Calculating the prevalence of cancer. Stat Med 11, 1579–89.

    Article  CAS  PubMed  Google Scholar 

  30. Capocaccia, R., and De Angelis, R. (1997) Estimating the completeness of prevalence based on cancer registry data. Stat Med 16, 425–40.

    Article  CAS  PubMed  Google Scholar 

  31. Clegg, L., Gail, M., and Feuer, E. J. (2002) Estimating the variance of disease prevalence estimates from population-based registries. Biometrics 58(3), 684–8.

    Article  PubMed  Google Scholar 

  32. Feldman, A. R., Kessler, L., Myers, M. H., and Naughton, M. D. (1986) The prevalence of cancer. N Engl J Med 315, 1394–7.

    Article  CAS  PubMed  Google Scholar 

  33. Gershman, S. T., Flannery, J. T., Barrett, H., Nadel, R. K., and Meigs, J. W. (1976) Development of the Connecticut Tumor Registry. Conn Med 40, 697–701.

    CAS  PubMed  Google Scholar 

  34. Merrill, R. M., Feuer, E. J., Cappacaccia, R., and Mariotto, A. (2000) Cancer prevalence estimates based on tumor registry data in the SEER Program. Int J Epidemiol 29, 197–207.

    Article  CAS  PubMed  Google Scholar 

  35. Byrne, J., Kessler, L. G., and Devesa, S. S. (1992) The prevalence of cancer among adults in the United States. Cancer 68, 2154–9.

    Article  Google Scholar 

  36. Gail, M. H., Kessler L, Midthune, D., and Scoppa S. (1999) Two approaches for estimating disease prevalence from population-based registries of incidence and total mortality. Biometrics 55, 1137–44.

    Article  CAS  PubMed  Google Scholar 

  37. De Angelis, G. D., De Angelis, R., Frova, L., and Verdecchia, A. (1994) MIAMOD: a computer program to estimate chronic disease morbidity using mortality and survival data. Comput Methods Programs Biomed 44, 99–107.

    Article  PubMed  Google Scholar 

  38. Verdecchia, A., De Angelis, G., and Capoc-accia, R. (2002) Estimation and projections of cancer prevalence from cancer registry data. Stat Med 21(22), 3511–26.

    Article  PubMed  Google Scholar 

  39. Keiding, N. (1991) Age-specific incidence and prevalence: a statistical perspective. J R Stat Soc Ser A 154, 371–412.

    Article  Google Scholar 

  40. Marubini, E., and Valsecchi, M. G (eds) (2004) Analyzing Survival Data from Clinical Trials and Observational Studies, Wiley, Hoboken, NJ.

    Google Scholar 

  41. Boer, R., Ries, L., van Ballegooijen, M., Feuer, E., Legler, J., and Habbema, D. (2003) Ambiguities in calculating cancer patient survival: the SEER experience for colorectal and prostate cancer. Technical Report 2003-05, Statistical Research and Applications Branch, National Cancer Institute, Bethesda, MD (http://srab.cancer.gov/reports).

    Google Scholar 

  42. Brown, C.C. (1983) The statistical comparison of relative survival rates. Biometrics 39, 941–8.

    Article  CAS  PubMed  Google Scholar 

  43. Ederer, F., Axtell, L. M., and Cutler, S. J. (1961) The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr 6, 101–21.

    CAS  PubMed  Google Scholar 

  44. Brenner, H., and Hakulinen, T. (2002) Advanced detection of time trends in long-term cancer patient survival: experience from 50 Years of cancer registration in Finland. Am J Epidemiol 156(6), 566–77.

    Article  PubMed  Google Scholar 

  45. Yu, B., Tiwari, R. C., Cronin, K. A., McDonald, C., and Feuer, E. J. (2005) CANSURV: a Windows program for population-based cancer survival analysis. Comput Methods Programs Biomed 80(3), 195–203.

    Article  PubMed  Google Scholar 

  46. Yu, B., Tiwari, R. C., Cronin, K. A, and Feuer, E. J. (2004) Cure fraction estimation from the mixture cure models for grouped survival data. Stat Med 23(11), 1733–47.

    Article  PubMed  Google Scholar 

  47. Brewer, C. A. (2006) Basic mapping principles for visualizing cancer data using geographic information systems (GIS). Am J Prev Med 30(2 Suppl), S25–S36.

    Article  PubMed  Google Scholar 

  48. Bell, B. S, Hoskins, R. E., Pickle, L. W., and Wartenberg, D. (2006) Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public. Int J Health Geogr 8, 5:49.

    Article  Google Scholar 

  49. Pickle, L. W., Hao, Y., Jemal, A., Zou, Z, Tiwari, R. C., and Ward, E., et al. (2007) A new method of estimating United States and state-level cancer incidence counts for the current calendar Year. CA Cancer J Clin 57, 30–42.

    Article  PubMed  Google Scholar 

  50. National Cancer Institute (2006) SEER*Stat software, version 6.2. Statistical Research and Applications Branch, National Cancer Institute. http://seer.cancer.gov/seerstat/. Cited 4 April 2007.

  51. National Cancer Institute (2006) SEER*Prep software, version 2.3.5. Statistical Research and Applications Branch, National Cancer Institute. http://srab.can-cer.gov/seerprep/. Cited 4 April 2007.

  52. National Cancer Institute (2006) DevCan 6.1.1 for Windows software, version 6.1.1. Statistical Research and Applications Branch, National Cancer Institute. http://srab.can-cer.gov/devcan/. Cited 4 April 2007.

  53. National Cancer Institute (2006) Joinpoint regression program, version 3.0. Statistical Research and Applications Branch, National Cancer Institute. http://srab.cancer.gov/ joinpoint/. Cited 4 April 2007.

  54. National Cancer Institute (2006) Complete Prevalence (ComPrev) software, version 1.0. Statistical Research and Applications Branch, National Cancer Institute. http:// srab.cancer.gov/comprev/. Cited 4 April 2007.

  55. National Cancer Institute (2006) Projected Prevalence (ProjPrev) software, version 1.0.1. Statistical Research and Applications Branch, National Cancer Institute. http:// srab.cancer.gov/projprev/. Cited 4 April 2007.

  56. National Cancer Institute (2006) CanSurv software, version 1. Statistical Research and Applications Branch, National Cancer Institute. http://srab.cancer.gov/cansurv/. Cited 4 April 2007.

  57. National Cancer Institute (2006) Head-Bang PC software, version 3.0. Hansen; Simonson and Statistical Research and Applications Branch, National Cancer Institute. http://srab.cancer.gov/headbang/. Cited 4 April 2007.

  58. Kulldorff, M. and Information Management Services, Inc. (2007) SaTScan â„¢ version 7.0: software for the spatial and space-time scan statistics. http://www.satscan.org/. Cited 4 April 2007.

  59. National Cancer Institute (200X) State cancer profiles. http://statecancerprofiles. cancer.gov/index.html/. Cited 4 April 2007.

  60. North American Association of Central Cancer Registries (200X) CINA + Online Cancer in North America. http://www. cancer-rates.info/naaccr/. Cited 4 April 2007.

  61. Ferlay, J., Bray, F., Pisani, P., and Parkin, D. M. (2004) GLOBOCAN 2002: Cancer Incidence, Mortality and Prevalence Worldwide. IARC Cancer Base No. 5. Version 2.0. IARC Press, Lyon, France. (http://www-dep.iarc.fr/).

    Google Scholar 

  62. Glaser, S. L., Clarke, C. A., Gomez, S. L., O'Malley, C. D., Purdie, D. M., and West, D. W. (2005) Cancer surveillance research, a vital subdiscipline of cancer epidemiology. Cancer Causes Control 16, 1009–1019.

    Article  PubMed  Google Scholar 

  63. Clemmesen, J. (1948) Carcinoma of the breast. Results from statistical research (symposium). Br J Radiol 21, 583–590.

    Article  CAS  PubMed  Google Scholar 

  64. Buell, P., and Dunn, J. E., Jr. (1965) Cancer mortality among Japanese Issei and Nisei of California. Cancer 18, 656–64.

    Article  CAS  PubMed  Google Scholar 

  65. Alavanja, M. C., Sandler, D. P., McMaster, S. B., Zahm, S. H., McDonnell, C. J., and Lynch, C. F., et al. (1996) The Agricultural Health Study. Environ Health Perspect 104 (4), 362–369.

    Article  CAS  PubMed  Google Scholar 

  66. Silverman, D. T., Hartge, P., Morrison, A. S., and Devesa, S. S. (1992) Epidemiology of bladder cancer. Hematol Oncol Clin North Am 6(1), 1–30.

    CAS  PubMed  Google Scholar 

  67. National Cancer Institute Health (1999) Effects of Exposure to Environmental Tobacco Smoke, Smoking and Tobacco Control Monograph No. 10. U.S. Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD.

    Google Scholar 

  68. No authors listed (1986) Oral contraceptive use and risk of breast cancer. The Cancer and Steroid Hormone Study of the Centers for Disease Control and the National Institute of Child Health and Human Development. N Engl J Med 315, 405–411.

    Google Scholar 

  69. Le Marchand, L., Yoshizawa, C. N., Kolo-nel, L. K., Hankin, J. H., and Goodman, M. T. (1989) Vegetable consumption and lung cancer risk: a population-based case-control study in Hawaii. J Natl Cancer Inst 81, 1158–1164.

    Article  PubMed  Google Scholar 

  70. Irwin, M. L., Aiello, E.J., McTiernan, A., Bernstein, L., Gilliland, F. D., Baumgartner, R. N., et al. (2007) Physical activity, body mass index, and mammographic density in postmenopausal breast cancer survivors. J Clin Oncol 25(9), 1061–6.

    Article  PubMed  Google Scholar 

  71. Cerhan, J. R., Anderson, K. E., Janney, C. A., Vachon, C. M., Witzig, T. E., and Hab-ermann, T. M. (2003) Association of aspirin and other non-steroidal anti-inflammatory drug use with incidence of non-Hodgkin lymphoma. Int J Cancer 106(5), 784–8.

    Article  CAS  PubMed  Google Scholar 

  72. Kleinerman, R. A., Boice, J. D., Jr., Storm, H. H., Sparen, P., Andersen, A., Pukkala, E., Lynch, C. F., et al. (1995) Second primary cancer after treatment for cervical cancer. An international cancer registries study. Cancer 76, 442–452.

    Article  CAS  PubMed  Google Scholar 

  73. Travis, L. B., Curtis, R. E., Storm, H., Hall, P., Holowaty, E., Van Leeuwen, F. E., et al. (1997) Risk of second malignant neoplasms among long-term survivors of testicular cancer. J Natl Cancer Inst 89, 1429–1439.

    Article  CAS  PubMed  Google Scholar 

  74. Travis, L. B., Gospodarowicz, M., Curtis, R. E., Clarke, E.A., Andersson, M., Glimelius, B., et al. (2002) Lung cancer following chemotherapy and radiotherapy for Hodg-kin's disease. J Natl Cancer Inst 94, 182–192.

    PubMed  Google Scholar 

  75. Zablotska, L. B., Chak, A., Das, A., and Neugut, A.I. (2005) Increased risk of squa-mous cell esophageal cancer after adjuvant radiation therapy for primary breast cancer. Am J Epidemiol 161(4), 330–7.

    Article  PubMed  Google Scholar 

  76. Das, A., Neugut, A. I., Cooper, G. S., and Chak, A. (2004) Association of ampullary and colorectal malignancies. Cancer 100(3), 524–30.

    Article  PubMed  Google Scholar 

  77. Brewster, D. H, Fordyce, A., and Black, R. J. (2004) Scottish clinical geneticists. Impact of a cancer registry-based genealogy service to support clinical genetics services. Fam Cancer 3(2), 139–41.

    Article  PubMed  Google Scholar 

  78. Ziogas, A., and Anton-Culver, H. (2003) Validation of family history data in cancer family registries. Am J Prev Med 24(2), 190–198.

    Article  PubMed  Google Scholar 

  79. Bernstein, J. L., Langholz, B. M., Haile, R.W., Bernstein, L., Thomas, D. C., and Stovall, M., et al. (2004) Study design: evaluating gene-environment interactions in the etiology of breast cancer—the WECARE Study. Breast Cancer Res 6, R199–R214

    Article  CAS  PubMed  Google Scholar 

  80. Blot, W. J., Devesa, S. S., Kneller, R. W., and Fraumeni, J. F., Jr. (1991) Rising incidence of adenocarcinoma of the esophagus and gastric cardia. JAMA 265, 1287–1289.

    Article  CAS  PubMed  Google Scholar 

  81. Reynolds, P., Layefsky, M. E., Saunders, L. D, George, F. L., and Payne, S. F. (1990) Kaposi's sarcoma reporting in San Francisco: comparison of AIDS and cancer surveillance systems. J Acquir Immune Defic Syndr 3(Suppl 1), S8–S13.

    PubMed  Google Scholar 

  82. Blumenstock, J., Fagliano, J., and Bresnitz, E. (2000) The Dover Township childhood cancer investigation. N J Med 97, 25–30.

    CAS  PubMed  Google Scholar 

  83. Roche, L. M., Skinner, R., and Weinstein, R. B. (2002) Use of a geographic information system to identify and characterize areas with high proportions of distant stage breast cancer. J Public Health Manag Pract 8, 26–32.

    PubMed  Google Scholar 

  84. Giordano, S. H., Cohen, D. S., Buzdar, A. U., Perkins, G., and Hortobagyi, G. N. (2004) Breast carcinoma in men: a population-based study. Cancer 101(1), 51–7.

    Article  PubMed  Google Scholar 

  85. Swan, J., and Edwards, B. K. (2003) Cancer rates among American Indians and Alaska Natives: is there a national perspective. Cancer 98(6), 1262–72

    Article  PubMed  Google Scholar 

  86. Gail, M. H., Brinton, L. A., Byar, D. P, Corle, D. K., Green, S. B., Schairer, C., et al. (1989) Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 81, 1879–1886.

    Article  CAS  PubMed  Google Scholar 

  87. Feuer, E. J., Wun, L. M., Boring, C. C., Flanders, W. D., Timmel, M. J., and Tong, T. (1993) The lifetime risk of developing breast cancer. J Natl Cancer Inst 85, 892–897.

    Article  CAS  PubMed  Google Scholar 

  88. Harper, S., and Lynch, J. (2005) Methods for measuring cancer disparities: using data relevant to healthy people 2010 cancer-related objectives. NCI Cancer Surveillance Monograph Series, No. 6. National Cancer Institute, Bethesda, MD.

    Google Scholar 

  89. Humble, C. G., Samet, J. M., Pathak, D. R., and Skipper, B. J. (1985) Cigarette smoking and lung cancer in ‘ Hispanic ’ whites and other whites in New Mexico. Am J Public Health 75(2), 145–148.

    Article  CAS  PubMed  Google Scholar 

  90. Chen, V. W., Fontham, E. T. H., Craig, J. F., Groves, F. D., Culley, P., Rainey, J. M., et al. (1992) Cancer in South Louisiana. Part I: tobacco-related cancers. J La Med Soc 144, 149–155.

    CAS  Google Scholar 

  91. Friedell, G. H., Tucker, T. C., McManmon, E., Moser, M., Hernandez, C., and Nadel, M. (1992) Incidence of dysplasia and carcinoma of the uterine cervix in an Appalachian population. J Natl Cancer Inst 84, 1030–1032.

    Article  CAS  PubMed  Google Scholar 

  92. Chen, V. W., Wu, X. C., Andrews, P. A., Fontham, E. T., and Correa, P. (1994) Advanced stage at diagnosis: an explanation for higher than expected cancer death rates in Louisiana? J La Med Soc 146, 137–145.

    CAS  Google Scholar 

  93. Mills, P. K., and Kwong, S. (2001) Cancer incidence in the united farm workers of America (UFW) 1987–1997. Am J Ind Med 40, 596–603.

    Article  CAS  PubMed  Google Scholar 

  94. Barnoya, J., and Glantz, S. (2004) Association of the California tobacco control program with declines in lung cancer incidence. Cancer Causes Control 15(7), 689–95.

    Article  PubMed  Google Scholar 

  95. Harlan, L. C., Abrams, J., Warren, J. L., Clegg, L., Stevens, J., and Ballard-Barbash, R. (200) Adjuvant therapy for breast cancer: practice patterns of community physicians. J Clin Oncol 20, 1809–1817.

    Google Scholar 

  96. Potosky, A. L., Harlan, L. C., Kaplan, R. S., Johnson, K. A., and Lynch, C. F. (2002) Age, sex, and racial differences in the use of standard adjuvant therapy for colorectal cancer. J Clin Oncol 20, 1192–1202.

    Article  PubMed  Google Scholar 

  97. Harlan, L. C., Clegg, L. X., and Trimble, E. L. (2003) Trends in surgery and chemotherapy for women diagnosed with ovarian cancer in the U.S. J Clin Oncol 21(18), 3488–94

    Article  PubMed  Google Scholar 

  98. Potosky, A. L., Riley, G. F., Lubitz, J. D., Mentnech, R. M., and Kessler, L. G. (1993) Potential for cancer related health services research using a linked Medicare-tumor registry database. Med Care 31(8), 732–748.

    Article  CAS  PubMed  Google Scholar 

  99. Brown, M. L., Riley, G. F., Schussler, N., and Etzioni, R. (2002) Estimating health care costs related to cancer treatment from SEER-Medicare data. Med Care 40(8 Suppl IV), 104–17.

    Google Scholar 

  100. Doebbeling, B. N., Wyant, D. K., McCoy, K. D., Riggs, S., Woolson, R. F., Wagner, D., et al. (1999) Linked insurance-tumor registry database for health services research. Med Care 37(11), 1105–15.

    Article  CAS  PubMed  Google Scholar 

  101. McClish, D. K., Penberthy, L., Whittemore, M., Newschaffer, C., Woolard, D., Desch, C. E., et al. (1997) Ability of Medicare claims data and cancer registries to identify cancer cases and treatment. Am J Epidemiol 145(3), 227–33.

    CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Das, A. (2009). Cancer Registry Databases: An Overview of Techniques of Statistical Analysis and Impact on Cancer Epidemiology. In: Verma, M. (eds) Cancer Epidemiology. Methods in Molecular Biology, vol 471. Humana Press. https://doi.org/10.1007/978-1-59745-416-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-59745-416-2_2

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-987-1

  • Online ISBN: 978-1-59745-416-2

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics