Use of multiple imputation to correct for bias in lung cancer incidence trends by histologic subtype

Cancer Epidemiology Biomarkers and Prevention

Volumn 23, Issue 8, 2014, Pages 1546-1558

  Yu, Mandi ^a   Feuer, Eric J ^a   Cronin, Kathleen A ^a   Caporaso, Neil E ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADENOCARCINOMA; ADULT; AGED; CANCER REGISTRY; CARCINOMA, SQUAMOUS CELL; FEMALE; HUMAN; INCIDENCE; LUNG NEOPLASMS; MALE; MIDDLE AGED; PATHOLOGY; STATISTICAL BIAS; STATISTICAL MODEL;

ADENOCARCINOMA; ADULT; AGED; BIAS (EPIDEMIOLOGY); CARCINOMA, SQUAMOUS CELL; FEMALE; HUMANS; INCIDENCE; LUNG NEOPLASMS; MALE; MIDDLE AGED; MODELS, STATISTICAL; SEER PROGRAM;

EID: 84905484590     PISSN: 10559965     EISSN: None     Source Type: Journal    
DOI: 10.1158/1055-9965.EPI-14-0130     Document Type: Article

References (46)

1. Howlader N, Noone AM, Krapcho M, Garshell J, Neyman N, Altekruse SF, et al., editors. SEER Cancer Statistics Review, 1975-2010, National Cancer Institute. Bethesda, MD. Available from: http://seer.cancer. gov/csr/1975-2010/. Based on November 2012 SEER data submission, posted to the SEER website, April 2013.
2. Lamb D. Histological classification of lung cancer. Thorax 1984;39:161-5.
3. Landi MT, Chatterjee N, Yu K, Goldin LR, Goldstein AM, Rotunno M, et al. A genome-wide association study of lung cancer identifies a region of chromosome 5p15 associated with risk for adenocarcinoma. Am J Hum Genet 2009;85:679-91.
4. Shi J, Chatterjee N, Rotunno M, Wang Y, Pesatori AC, Consonni D, et al. Inherited variation at chromosome 12p13.33, including RAD52, nfluences the risk of squamous cell lung carcinoma. Cancer Discov 2012;2:131-9.
5. Lynch TJ, Bell DW, Sordella R, Gurubhagavatula S, Okimoto RA, Brannigan BW, et al. Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med 2004;350:2129-39.
6. Paez JG, Janne PA, Lee JC, Tracy S, Greulich H, Gabriel S, et al. EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy. Science 2004;304:1497-500.
7. Husain H, Rudin CM. ALK-targeted therapy for lung cancer: ready for prime time. Oncology 2011;25:597-60.
8. Kim ES, Herbst RS, Wistuba II, Lee JJ, Blumenschein GR, Tsao A, et al. The BATTLE rrial: personalizing therapy for lung cancer. Cancer Discov 2011;1:44-53.
9. Pinsky P. National Lung Screening Trial (NLST) subset analysis. Board of Scientific Advisor and National Cancer Advisory Board, Bethesda, MD: National Cancer Institute; 2013.
10. Jemal A, Simard E, Dorell C, Noone A, Markowitz L, Kohler B, et al. Annual report to the nation on the status of cancer, 1975-2009, featuring the burden and trends in HPV-associated cancers and HPV vaccination coverage levels. J Natl Cancer Inst 2013;105:175-201.
11. Surveillance, Epidemiology, and End Results (SEER) Program. Available from: www.seer.cancer.gov. SEER'Stat Database: Incidence - SEER 9 Regs Research Data, Nov. 2011 Sub (1975-2010) Katrina/Rita Population Adjustment - Linked To County Attributes - Total U. S., 1969-2010 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, released April 2013, based on the November 2012 submission. [Internet].
12. Travis W, Brambilla E, Noguchi M, Nicholson A, Geisinger K, Yatabe Y, et al. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society international multidisciplinary classification of lung adenocarcinoma: executive summary. Proc Am Thorac Soc 2011;8:381-5.
13. Cole SR, Chu H, Greenland S. Multiple-imputation for measurementerror correction. Int J Epidemiol 2006;35:1074-81.
14. Durrant GB, Skinner C. Using missing data methods to correct for measurement error in a distribution function. Surv Methodol 2006;32:25-36.
15. Schenker N, Parker JD. From single-race reporting to multiple-race reporting: using imputation methodsto bridge the transition. Stat Med 2003;22:1571-87.
16. Thomas N, Raghunathan TE, Schenker N, Katzo MJ, Johnson CL. An evaluation of matrix sampling methods using data from the National Health and Nutrition Examination Survey. Surv Methodol 2006;32:217-32.
17. Burgette LF, Reiter JP. Nonparametric Bayesian multiple imputation for missing data due to mid-study switching of measurement methods. J Am Stat Assoc 2012;107:439-49.
18. Anderson WF, Katki HA, Rosenberg PS. Incidence of breast cancer in the United States: current and future trends. J Natl Cancer Inst 2011;103:1397-402.
19. Howlader N, Noone A, Yu M, Cronin K. Use of imputed populationbased cancer registry data as a method of accounting for missing information: application to estrogen receptor status for breast cancer. Am J Epidemiol 2012;176:347-56.
20. Little R J A, Rubin DB. Statistical analysis with missing data. Hoboken, NJ: John Wiley & Sons, Inc.; 2002.
21. Raghunathan TE, Lepkowski JM, Van Hoewyk J, Solenberger P. A multivariate technique for multiply imputing missing values using a sequence of regression models. Surv Methodol 2001;27:85-95.
22. Rubin DB. Multiple imputation for nonresponse in surveys. New York: Wiley & Sons; 1987.
23. Kim H-J, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 2000;19:335-51.
24. David M, Little R J A, Samuhel ME, Triest RK. Alternative methods for CPS income imputation. J Am Stat Assoc 1986;81:29-41.
25. Rubin DB, Stern HS, Vehovar V. Handling "don't know" survey responses: the case of the Slovenian plebiscite. J Am Stat Assoc 1995;90:822-8.
26. Little R J A. Missing-data adjustments in large surveys. J Bus Econom Statist 1988;6:287-96.
27. Lin P-Y, Chang Y-C, Chen H-Y, Chen C-H, Tsui H-C, Yang P-C. Tumor size matters differently in pulmonary adenocarcinoma and squamous cell carcinoma. Lung Cancer 2010;67:296-300.
28. Warren JL, Klabunde CN, Schrag D, Bach PB, Riley GF. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care 2002;40: IV-3-18.
29. Thun MJ, Lally CA, Calle EE, Heath CW, Flannery JT, Flanders WD. Cigarette smoking and changes in the histopathology of lung cancer. J Natl Cancer Inst 1997;89:1580-6.
30. Small Area Estimates for Cancer Risk Factors & Screening Behaviors. National Cancer Institute, DCCPS, Statistical Methodology & Applications Branch, released May 2010 (sae.cancer.gov).
31. Underlying data provided by Behavioral Risk Factor Surveillance System (http://www.cdc.gov/brfss/)
32. and National Health Interview Survey (http://www.cdc. gov/nchs/nhis.htm). [Internet].
33. U. S. Census Bureau; Census 2000, Summary File 3, Table QT-P35; using American FactFinder. Available from: http://factfinder2.census. gov [Internet].
34. Le Cessie S, Van Houwelingen JC. Ridge estimators in logistic regression. Appl Statist 1992;41:191-201.
35. Schaefer R, Roi L, Wolfe R. A ridge logistic estimator. Commun Stat-Theor M 1984;13:99-113.
36. Yu M. Disclosure risk assessments and control. University of Michigan, Ann Arbor, MI: ProQuest/UMI; 2008.
37. SAS Institute Inc. SAS/STAT 9.2 user's guide. Cary, NC: SAS Institute Inc.; 2008.
38. Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. New York, NY: Springer-Verlag; 2009.
39. Greenland S, Finkle W. A critical look at methods for handling missing covariates in epidemiologic regression analyses. Am J Epidemiol 1995;142:1255-64.
40. Van Der Heijden G, Donders A, Stijnen T, Moons K. Imputation of missing values is superior to complete case analysis and the missingindicator method in multivariable diagnostic research: a clinical example. J Clin Epidemiol 2006;59:1102-9.
41. Karr AF, Kohnen CN, Oganian A, Reiter JP, Sanil AP. A framework for evaluating the utility of data altered to protect confidentiality. Amer Stat 2006;3:224-32.
42. Menvielle G, Boshuizen H, Kunst A, Dalton S, Vineis P, Bergmann M, et al. The role of smoking and diet in explaining educational inequalities in lung cancer incidence. J Natl Cancer Inst 2009;101:321-30.
43. Bennett VA, Davies EA, Jack RH, Mak V, Møller H. Histological subtype of lung cancer in relation to socio-economic deprivation in South East England. BMC Cancer 2008;8:139.
44. Travis WD, Travis LB, Devesa SS. Lung cancer. Cancer 1995;75:191-202.
45. Curado MP, Shin HR, Storm H, Ferlay J, Heanue M, Boyle P, editors. Cancer incidence in five continents, vol. IX. Lyon, France: IARC; 2007.
46. Rotunno M, Yu K, Lubin JH, Consonni D, Pesatori AC, Goldstein AM, et al. Phase I metabolic genes and risk of lung cancer: multiple polymorphisms and mRNA expression. PLoS ONE 2009;4:e5652.