Statistical methods in cancer epidemiological studies

Methods in Molecular Biology

Volumn 471, Issue , 2009, Pages 239-272

  Xue, Xiaonan ^a   Hoover, Donald R ^b  

^a ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Case cohort study; Case control study; Cohort study; Matched case control study; Nested case control study

Indexed keywords

CASE CONTROL STUDY; COHORT ANALYSIS; HUMAN; METHODOLOGY; NEOPLASM; REVIEW; STATISTICS;

CASE-CONTROL STUDIES; COHORT STUDIES; HUMANS; NEOPLASMS; RESEARCH DESIGN;

EID: 60349103145     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-59745-416-2_13     Document Type: Review

References (94)

1. Benjamin, Y., and Hochberg, Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. B 57, 289-300.
2. Westfall, P.H., and Young, S.S. (1993) Resampling-based Multiple Testing, New York : John Wiley & Sons, Inc.
3. Hoh, J., Wille, A., Zee, R., et al. (2000) Selecting SNPs in two-stage analysis of disease association data: a model-free approach. Am. J. Hum. Genet. 64, l413-7.
4. Hintze, J.L. (2001) PASS: Power and Sample Size Software. East Kaysville UT.
5. Rothman, K.J. (1986) Modern Epidemiology, Boston/Toronto : Little, Brown and Company.
6. Armitage, P., and Berry, G. (1990) Statistical Methods in Medical Research, London : Cambridge University Press,.
7. Breslow, N.E., and Day, N.E. (1980) Statistical Methods in Cancer Research, Volume I: The Analysis of Case-Control Studies, IARC Scientific Publications, No. 32, Lyon, France : International Agency for Research on Cancer.
8. Armitage, P. (1955) Test for linear trends in proportions and frequencies. Biometrics 11, 375-386.
9. Mantel, N. (1963). Chi-square tests with one degree of freedom: extensions of the Mantel-Haenszel procedure. J. Am. Stat. Assoc. 58, 690-700.
10. Mantel, N., and Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. J. Natl. Cancer Inst. 22, 719-748.
11. Robins, J.M., Breslow, N.E., and Greenland, S. (1986) Estimators of the Mantel-Haenszel variance consistent in both sparse data and large-strata limiting models. Biometrics 42, 311-323.
12. Agresti, A. (2002) Categorical Data Analysis, 2nd edition, New York : John Wiley & Sons, Inc.
13. Hosmer, D.W, Jr., and Lemeshow, S. (2000) Applied Logistic Regression, 2nd edition, New York : John Wiley & Sons, Inc.
14. Allison, P.D. (1999) Logistic Regression Using the SAS System: Theory and Application, Cary, NC : SAS Institute.
15. SAS Institute. (1995) Logistic Regression Examples Using the SAS System, Cary, NC: SAS Institute Inc.
16. Hsieh, F.Y., Block, D.A., and Larsen, M.D. (1998) A Simple Method of Sample Size Calculation for Linear and Logistic Regression. Stat. Med. 17, 1623-1634.
17. McNemar, Q. (1947) Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika 12, 153-157.
18. Liddell, F.D.K. (1983) Simplified exact analysis of case-referent studies: matched pairs; dichotomous exposure. J. Epidemiol. Community Health 37, 82-84.
19. Ury, H.K. (1975) Efficiency of case-control studies with multiple controls per case: continuous or dichotomous data. Biometrics 31, 643-649.
20. Cox, D.R., and Hinkley, D.V. (1974) Theoretical Statistics, London, UK : Chapman & Hall.
21. Stokes, M.E., Davis, C.S., and Koch, G.G. (2000) Categorical Data Analysis Using the SAS System, 2nd edition. Cary, NC : SAS Institute.
22. Allison, P.D. (1995) Survival Analysis Using the SAS System: A Practical Guide, Cary, NC : SAS Institute.
23. Dupont, W. (1988) Power calculations for matched case-control studies. Biometrics 44, 1157-1168.
24. Walker, A.M. (1982) Anamorphic analysis: sampling and estimation for covariate effects when both exposure and disease are known. Biometrics 38, 1025-32.
25. White, J.E. (1982) A two-stage design for the study of the relationship between a rare exposure and a rare disease. Am. J. Epidemiol. 115, 119-28.
26. Cain, K.C., and Breslow, N.E. (1988) Logistic regression analysis and efficient design for two-stage studies. Am. J. Epidemiol. 128, 1198-206.
27. Scott, A.H., and Wild, C.J. (1997) Fitting regression models to case-control data by maximum likelihood. Biometrika 84, 57-71.
28. Chatterjee, N., Chen, Y.H., and Breslow, N.E. (2003) A pseudoscore estimator for regression problems with two-stage sampling. J. Am. Stat. Assoc. 98, 158-68.
29. Reilly, M. (1996) Optimal sampling strategies for two-stage studies. Am. J. Epidemiol. 143, 92-100.
30. Hanley, J.A., Csizmadi, I., and Collet, J.-P. (2005) Two-stage case-control studies: precision of parameter estimates and considerations in selecting sample size. Am. J. Epidemiol. 162, 1225-1234.
31. Thomas, D., Xie, R., and Mulugeta G. (2004) Two-stage sampling designs for gene association studies. Genet. Epidemiol. 27, 401-414.
32. Maddala, G.S. (1983) Limited-Dependent and Qualitative Variables in Econometrics, New York : Cambridge University Press.
33. Kalbfleisch, J.D., and Prentice, R.L. (1980) The Statistical Analysis of Failure Time Data, New York : John Wiley & Sons, Inc.
34. Kaplan, E.L., and Meier, P. (1958) Nonparametric estimation form incomplete observations. J. Am. Stat. Assoc. 53, 457-481.
35. Greenwood, M. (1926) The errors of sampling of the survivorship tables, in Reports on Public Health and Statistical Subjects, no. 33. London : HMSO, Appendix I.
36. Miller, R.G., Jr. (1983) What Price Kaplan-Meier? Biometrics 39, 1077-1081.
37. Meier, P., Karrison, T., Chappell, R., and Xie, H. (2004) The Price of Kaplan-Meier. J. Am. Stat. Assoc. 99, 890-896.
38. Lawless, J.F. (1982) Statistical Methods and Methods for Lifetime Data, New York : John Wiley & Sons, Inc.
39. Collett, D. (1994) Modeling Survival Data in Medical Research, p. 23, London, UK: Chapman & Hall.
40. Tsiatis, A.A. (1975) Nonidentifiability aspect of the problem of competing risks. Proc. N Y Acad. Sci. 72 (1), 20-22.
41. Breslow, N.E., and Day, N.E. (1987) Statistical Methods in Cancer Research, Volume II: The Design and Analysis of Cohort Studies, IARC Scientific Publications, No. 82, Lyon, France : International Agency for Research on Cancer.
42. Cox, D.R. (1972) Regression models and life tables. J. R. Stat. Soc. Ser. B 20, 187-220.
43. Cox, D.R., and Oakes, D. (1984) Analysis of Survival Data, London, UK : Chapman & Hall.
44. Andersen, P.K., Borgan, Ø., Gill, R.D., and Keiding, N. (1992) Statistical Models Based on Counting Processes, New York : Springer-Verlag.
45. Schoenfeld, D. (1982) Partial residuals for the proportional hazards regression model. Biometrika 69, 239-241.
46. Thiebaut, A.C.M., and Benichou, J. (2004) Choice of time-scale in Cox's model analysis of epidemiologic cohort data: a simulation study. Stat. Med. 23, 3803-3820.
47. Prentice, P.L., and Gloeckler, L.A. (1978) Regression analysis of grouped survival data with applications to breast cancer data. Biometrics 34, 57-67.
48. Allison, P.D. (1982) Discrete-time methods for the analysis of event histories. In: Sociological Methods and Research, 15 ed. S. Leinhardt, San Francisco, CA : Jossey-Bass, 61-98.
49. D'Agostino, R.B., Lee, M.-L., Belanger, A.J., Cupples, L., Anderson, K., and Kannel, W.B. (1990) Relation of pooled logistic regression to time dependent Cox regression analysis: the Framingham Heart Study. Stat. Med. 9, 1501-1515.
50. Sun, J. (2006) The Statistical Analysis of Interval-censored Failure Time Data, NY : Springer.
51. Newman, A.B., Arnold, A.M., Naydeck, B.L., et al. (2003) Successful aging: effect of subclinical cardiovascular disease. Arch. Intern. Med. 163, 2315-2322.
52. Wei, L.J., Lin, D.Y., and Weissfeld, L. (1989). Regression analysis of multivariate incomplete failure time data by modeling marginal distribution. J. Am. Stat. Assoc. 84, 1065-1073.
53. Strickler, H.D., Palefsky, J.M., Shah, K.V., Anastos, K., Klein, R.S., Minkoff, H., Duerr, A., Massad, L.S., Celentano, D.D., Hall, C., Fazzari, M., Cu-Uvin, S., Bacon, M., Schuman , P, Levine, A.M., Durante, A.J., Gange, S., Melnick, S., Burk, R.D. (2003). Human papillomavirus 16 and immune status in human immunodeficiency virus-seropositive women. J. Natl. Cancer Inst. 95, 1062-71.
54. Strickler, H.D., Burk, R.D., Fazzari, M., Anastos, K., Minkoff, H., Massad, L.S., Hall, C., Bacon, M., Levine, A.M., Watts, H., Silverberg, M.J., Xue, X., Schlecht, N., Melnick, S., Palefsky, J.M. (2005). HPV Natural History and Possible HPV Reactivation in HIV-Positive Women. J. Natl. Cancer Inst. 97, 577-86.
55. Lee, E., Wei, L., and Amato, D. (1992) Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations, Netherlands : Kluwer Academic Publishers, 237-247.
56. Andersen, P.K., and Gill, R.D. (1982). Cox's regression model counting process: a large sample study. Ann. Stat. 10, 1100-1120.
57. Lin, D., Wei, L., Yang, I., and Ying, Z. (2000). Semiparametric regression for the mean and rate functions of recurrent events. J.R. Stat. Soc. B 62, 711-730.
58. Lawless, J., and Nadeau, C. (1995) Some simple robust methods for the analysis of recurrent events. Technometrics 37, 158-168.
59. Pepe, M., and Cai, J. (1993) Some graphical displays and marginal regression analyses for recurrent failure times and time dependent covariates. J. Am. Stat. Assoc. 88, 881-820.
60. Prentice, R.L., Williams, B.J., and Peterson, A.V. (1981). On the regression analysis of multivariate failure time data. Biometrika 68, 373-379.
61. Liang, K.Y., and Zeger, S.L. (1986) Longitudinal data analysis using generalized linear models Biometrika 73, 13-22.
62. Lipsitz, S.H., Kim, K., and Zhao, L. (1994) Analysis of repeated categorical data using generalized estimating equations. Stat. Med. 13, 1149-1163.
63. Miller, M.E., Davis, C.S., and Landis, J.R. (1993) The analysis of longitudinal polytomous data: generalized estimating equations and connections with weighted least squares. Biometrics 49, 1033-1044.
64. Zeger, S.L., Liang, K.-Y., and Albert, P.S. (1988) Models for longitudinal data: a generalized estimation equation approach. Biometrics 44, 1049-1060.
65. Diggle, P.J., Liang, K.Y., and Zeger, S.L. (1994) Analysis of Longitudinal Data, Oxford : Clarendon Press.
66. Goldfarb, N. (1960) An Introduction to Longitudinal Statistical Analysis-the Method of Repeated Observations from a Fixed Sample, Glencoe, IL : Free Press.
67. Hoover, D.R. (2002) Power for t-test comparisons of unbalanced cluster exposure studies J Urban Health 79 (2), 278-94.
68. Pan, W. (2001). Sample size and power calculations with correlated binary data. Controlled Clin. Trials 22, 211-227.
69. Kupper, L.L., McMichael, A.J., and Spirtas, R. (1975) A hybrid epidemiologic study design useful in estimating relative risk. J. Am. Stat. Assoc. 351, 524-528.
70. Breslow, N.E., Lubin, J.H., Marek, P., and Langholz, B. (1983) Multiplicative models and cohort analysis. J. Am. Stat. Assoc. 78, 1-12.
71. Ernster, V.L. (1994) Nested case-control studies. Prev. Med. 23, 587-590.
72. Essebag, V., Genest J., Suissa S., and Pilote L. (2003). The nested case-control study in cardiology. Am. Heart J. 146, 581-590.
73. Sidney, S., Friedman, G.D., and Hiatt R.A. (1986). Serum cholesterol and large bowel cancer. Am. J. Epidemiol. 124, 33-38.
74. Krieger, N., Wolff, M.S., Hiatt, R.A., Rivera, M., Vogelman, J., and Orentreich, N. (1994) Breast cancer and serum organochlorines. J. Natl. Cancer Inst. 86, 589-599.
75. Langholz, B., and Clayton, D. (1994). Sampling strategies in nested case-control studies. Environ. Health Perspect. 102 (Suppl 8), 46-51.
76. Steenland, K., Deddens, J.A. (1997) Increased precision using counter-matching in nested case-control studies. Epidemiology 8, 238-42.
77. Langholz, B. (2005) Counter-matching. Encyclopedia of Biostatistics. 2nd edition. Vol.2. ed. P. Armitage and T. Colton, Chichester, UK : John Wiley & Sons, Ltd., 1248-1254.
78. Cologne, J.B., Sharp, G.B., Neriishi, K., Verkasalo, P.K., Land, C.E. and Nakachi, K. (2004). Improving the efficiency of nested case-control studies of interaction by selecting controls using counter matching on exposure. Int. J. Epidemiol. 33, 485-492.
79. Andrieu, N., Goldstein, A.M., Thomas, D.C., and Langholz, B. (2001) Counter-matching in studies of gene-environment interaction: efficiency and feasibility. Am. J. Epidemiol. 153, 265-274.
80. Prentice, R. (1986). A case-cohort design for epidemiologic cohort studies and disease prevention trials. Biometrika 73, 1-11.
81. Chen, K. (2001). Generalized case-cohort sampling. J. R. Stat. Soc. B 63, 791-809.
82. Self, S.G., and Prentice, R. (1988). Asymptotic distribution theory and efficiency results for case-cohort studies. Ann. Stat. 16, 64-81.
83. Barlow, W.E. (1994) Robust variance estimation for the case-cohort design. Biometrics 50, 1064-1072.
84. Therneau, T.M., and Li, H. (1999) Computing the Cox model for case-cohort designs. Lifetime Data Anal. 5, 99-112.
85. Ramadhani, M.K., Elias, S.G., van Noord, P.A.H., et al. (2005) Innate left handedness and risk of breast cancer: case-cohort study. BMJ 331, 882-883.
86. Savitz, D.A., Cai, J, van Wijngaarden, E., et al. (2000) Case-cohort analysis of brain cancer and leukemia in electric utility workers using a refined magnetic field job-exposure matrix. Am. J. Ind. Med. 38, 417-425.
87. Zeka, A,, Eisen, E.A., Kriebel, D, et al. (2004). Risk of upper aerodigestive tract cancers in a case-cohort study of autoworkers exposed to metalworking fluids. Occup. Environ. Med. 61, 426-431.
88. Cai, J., and Zeng, D. (2004) Sample size/ power calculation of case-cohort studies. Biometrics 60, 1015-1024.
89. Kim, M.Y., Xue, X., and Du. Y. (2006) Approaches for calculating power for case-cohort studies. Biometrics 62, 929-933.
90. Wacholder, S. (1991) Practical considerations in choosing between the case-cohort and nested case-control designs. Epidemiology 2, 155-158.
91. Barlow, W.E., Ichikawa L., Rosner, D., and Izumi S. (1999) Analysis of case-cohort designs. J. Clin. Epidemiol. 52, 1165-1172.
92. Langholz, B., and Thomas, D.C. (1990) Nested case-control and case-cohort methods of sampling from a cohort: a critical comparison. Am. J. Epidemiol. 131, 169-176.
93. Langholz, B., and Thomas, D.C. (1991) Efficiency of cohort sampling designs: some surprising results. Biometrics 47, 1563-1571.
94. Matanoski, G.M., and Tao, X. (2003) Styrene exposure and ischemic heart disease: a case-cohort study. Am. J. Epidemiol. 158, 988-995.