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Volumn 32, Issue 7, 2013, Pages 1164-1190

Evaluation of removable statistical interaction for binary traits

Author keywords

Analysis of variance; Curvature; Independence; Interaction effect; Link function; Main effect; Residuals; Score statistic; Transformation; Tukey's test; Unbalanced data

Indexed keywords

AROMATASE; ARYLAMINE ACETYLTRANSFERASE;

EID: 84874977488     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5628     Document Type: Article
Times cited : (18)

References (48)
  • 1
    • 0028089404 scopus 로고
    • Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies
    • Piegorsch WW, Weinberg CR, Taylor JA. Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies. Statistics in Medicine 1994; 13:153-162.
    • (1994) Statistics in Medicine , vol.13 , pp. 153-162
    • Piegorsch, W.W.1    Weinberg, C.R.2    Taylor, J.A.3
  • 2
    • 0037310257 scopus 로고    scopus 로고
    • Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity
    • Ritchie MD, Hahn LW, Moore JH. Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity. Genetic Epidemiology 2003; 24:150-157.
    • (2003) Genetic Epidemiology , vol.24 , pp. 150-157
    • Ritchie, M.D.1    Hahn, L.W.2    Moore, J.H.3
  • 4
    • 37249080278 scopus 로고    scopus 로고
    • Penalized logistic regression for detecting gene interactions
    • Park MY, Hastie T. Penalized logistic regression for detecting gene interactions. Biostatistics 2008; 9:30-50.
    • (2008) Biostatistics , vol.9 , pp. 30-50
    • Park, M.Y.1    Hastie, T.2
  • 5
    • 78649522135 scopus 로고    scopus 로고
    • Using biological knowledge to discover higher order interactions in genetic association studies
    • Chen GK, Thomas DC. Using biological knowledge to discover higher order interactions in genetic association studies. Genetic Epidemiology 2010; 34:863-878.
    • (2010) Genetic Epidemiology , vol.34 , pp. 863-878
    • Chen, G.K.1    Thomas, D.C.2
  • 6
    • 75649136956 scopus 로고    scopus 로고
    • Bayesian mixture modeling of gene-environment and gene-gene interactions
    • Wakefield J, De Vocht F, Hung RJ. Bayesian mixture modeling of gene-environment and gene-gene interactions. Genetic Epidemiology 2010; 34:16-25.
    • (2010) Genetic Epidemiology , vol.34 , pp. 16-25
    • Wakefield, J.1    De Vocht, F.2    Hung, R.J.3
  • 7
    • 67349166946 scopus 로고    scopus 로고
    • Detecting gene-gene interactions that underlie human diseases
    • Cordell HJ. Detecting gene-gene interactions that underlie human diseases. Nature Reviews Genetics 2009; 10:392-404.
    • (2009) Nature Reviews Genetics , vol.10 , pp. 392-404
    • Cordell, H.J.1
  • 8
    • 73149103718 scopus 로고    scopus 로고
    • Prioritizing GWAS results: a review of statistical methods and recommendations for their application
    • Cantor RM, Lange K, Sinsheimer JS. Prioritizing GWAS results: a review of statistical methods and recommendations for their application. American Journal of Human Genetics 2010; 86:6-22.
    • (2010) American Journal of Human Genetics , vol.86 , pp. 6-22
    • Cantor, R.M.1    Lange, K.2    Sinsheimer, J.S.3
  • 9
    • 77951497455 scopus 로고    scopus 로고
    • Methods for investigating gene-environment interactions in candidate pathway and genome-wide association studies
    • Thomas DC. Methods for investigating gene-environment interactions in candidate pathway and genome-wide association studies. Annual Review of Public Health 2010; 21:21-36.
    • (2010) Annual Review of Public Health , vol.21 , pp. 21-36
    • Thomas, D.C.1
  • 10
    • 0345411335 scopus 로고    scopus 로고
    • The ubiquitous nature of epistasis in determining susceptibility to common human diseases
    • Moore JH. The ubiquitous nature of epistasis in determining susceptibility to common human diseases. Human Heredity 2003; 56:73-82.
    • (2003) Human Heredity , vol.56 , pp. 73-82
    • Moore, J.H.1
  • 12
    • 78650304195 scopus 로고    scopus 로고
    • Statistical interaction in human genetics: how should we model it if we are looking for biological interaction?
    • Wang X, Elston RC, Zhu X. Statistical interaction in human genetics: how should we model it if we are looking for biological interaction? Nature Reviews Genetics 2010b; 12:74.
    • (2010) Nature Reviews Genetics , vol.12 , pp. 74
    • Wang, X.1    Elston, R.C.2    Zhu, X.3
  • 13
    • 0347893392 scopus 로고
    • The principles of orthogonality and confounding in replicated experiments
    • Yates F. The principles of orthogonality and confounding in replicated experiments. The Journal of Agricultural Science 1933; 23:108-145.
    • (1933) The Journal of Agricultural Science , vol.23 , pp. 108-145
    • Yates, F.1
  • 15
    • 0016076701 scopus 로고
    • Synergy and antagonism in cause-effect relationships
    • Rothman KJ. Synergy and antagonism in cause-effect relationships. American Journal of Epidemiology 1974; 99:385-388.
    • (1974) American Journal of Epidemiology , vol.99 , pp. 385-388
    • Rothman, K.J.1
  • 16
    • 0001663056 scopus 로고
    • The age distribution of cancer: implications for models of carcinogenesis
    • Doll R. The age distribution of cancer: implications for models of carcinogenesis. Journal of the Royal Statistical Society, Series A (General) 1971; 134:133-166.
    • (1971) Journal of the Royal Statistical Society, Series A (General) , vol.134 , pp. 133-166
    • Doll, R.1
  • 17
    • 0002309294 scopus 로고
    • Quantitative theories of carcinogenesis
    • Whittemore AS, Keller JB. Quantitative theories of carcinogenesis. SIAM Review 1978; 20:1-30.
    • (1978) SIAM Review , vol.20 , pp. 1-30
    • Whittemore, A.S.1    Keller, J.B.2
  • 18
    • 0019867064 scopus 로고
    • Biological models and statistical interactions: an example from multi-stage carcinogenesis
    • Siemiatycki J, Thomas DC. Biological models and statistical interactions: an example from multi-stage carcinogenesis. International Journal of Epidemiology 1981; 10:383-387.
    • (1981) International Journal of Epidemiology , vol.10 , pp. 383-387
    • Siemiatycki, J.1    Thomas, D.C.2
  • 19
    • 0036797562 scopus 로고    scopus 로고
    • Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans
    • Cordell HJ. Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans. Human Molecular Genetics 2002; 11:2463-2468.
    • (2002) Human Molecular Genetics , vol.11 , pp. 2463-2468
    • Cordell, H.J.1
  • 20
    • 54149088214 scopus 로고    scopus 로고
    • Epistasis - the essential role of gene interactions in the structure and evolution of genetic systems
    • Phillips PC. Epistasis - the essential role of gene interactions in the structure and evolution of genetic systems. Nature Reviews Genetics 2008; 9:855-867.
    • (2008) Nature Reviews Genetics , vol.9 , pp. 855-867
    • Phillips, P.C.1
  • 21
    • 67349266632 scopus 로고    scopus 로고
    • Sufficient cause interactions and statistical interactions
    • VanderWeele TJ. Sufficient cause interactions and statistical interactions. Epidemiology 2009; 20:6-13.
    • (2009) Epidemiology , vol.20 , pp. 6-13
    • VanderWeele, T.J.1
  • 24
    • 0004928882 scopus 로고
    • On additivity in the analysis of variance
    • Elston RC. On additivity in the analysis of variance. Biometrics 1961; 17:209-219.
    • (1961) Biometrics , vol.17 , pp. 209-219
    • Elston, R.C.1
  • 26
    • 0000497227 scopus 로고
    • Use of the Box-Cox transformation with binary response models
    • Guerrero VM, Johnson RA. Use of the Box-Cox transformation with binary response models. Biometrika 1982; 69:309-314.
    • (1982) Biometrika , vol.69 , pp. 309-314
    • Guerrero, V.M.1    Johnson, R.A.2
  • 29
    • 36749080939 scopus 로고    scopus 로고
    • Interaction of soy food and tea consumption with CYP19A1 genetic polymorphisms in the development of endometrial cancer
    • Xu WH, Dai Q, Xiang YB, et al. Interaction of soy food and tea consumption with CYP19A1 genetic polymorphisms in the development of endometrial cancer. American Journal of Epidemiology 2007; 166:1420-1430.
    • (2007) American Journal of Epidemiology , vol.166 , pp. 1420-1430
    • Xu, W.H.1    Dai, Q.2    Xiang, Y.B.3
  • 31
    • 84960989652 scopus 로고
    • On estimating the relation between blood group and disease
    • Woolf B. On estimating the relation between blood group and disease. Annals of Human Genetics 1955; 19:251-253.
    • (1955) Annals of Human Genetics , vol.19 , pp. 251-253
    • Woolf, B.1
  • 34
    • 0001497804 scopus 로고
    • One degree of freedom for non-additivity
    • Tukey JW. One degree of freedom for non-additivity. Biometrics 1949; 5:232-242.
    • (1949) Biometrics , vol.5 , pp. 232-242
    • Tukey, J.W.1
  • 35
    • 0000794036 scopus 로고
    • The interaction of nature and nurture
    • Haldane JBS. The interaction of nature and nurture. Annals of Eugenics 1946; 13:197-205.
    • (1946) Annals of Eugenics , vol.13 , pp. 197-205
    • Haldane, J.B.S.1
  • 36
    • 0025094785 scopus 로고
    • An epidemiologic approach to gene-environment interaction
    • Ottman R. An epidemiologic approach to gene-environment interaction. Genetic Epidemiology 1990; 7:177-185.
    • (1990) Genetic Epidemiology , vol.7 , pp. 177-185
    • Ottman, R.1
  • 37
    • 33845284533 scopus 로고    scopus 로고
    • Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions
    • Chatterjee N, Kalaylioglu Z, Moslehi R, Peters U, Wacholder S. Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions. American Journal of Human Genetics 2006; 79:1002-1016.
    • (2006) American Journal of Human Genetics , vol.79 , pp. 1002-1016
    • Chatterjee, N.1    Kalaylioglu, Z.2    Moslehi, R.3    Peters, U.4    Wacholder, S.5
  • 38
    • 0001444996 scopus 로고
    • On two families of transformations to additivity for binary regression data
    • Aranda-Ordaz FJ. On two families of transformations to additivity for binary regression data. Biometrika 1981; 68:357-363.
    • (1981) Biometrika , vol.68 , pp. 357-363
    • Aranda-Ordaz, F.J.1
  • 39
    • 0020802906 scopus 로고
    • Transformations to linearity in binary regression
    • Whittemore AS. Transformations to linearity in binary regression. SIAM Journal on Applied Mathematics 1983; 43:703-710.
    • (1983) SIAM Journal on Applied Mathematics , vol.43 , pp. 703-710
    • Whittemore, A.S.1
  • 40
    • 34547664620 scopus 로고    scopus 로고
    • A meta-analysis of the association of N-acetyltransferase 2 gene (NAT2) variants with breast cancer
    • Ochs-Balcom HM, Wiesner G, Elston RC. A meta-analysis of the association of N-acetyltransferase 2 gene (NAT2) variants with breast cancer. American Journal of Epidemiology 2007; 166:246-254.
    • (2007) American Journal of Epidemiology , vol.166 , pp. 246-254
    • Ochs-Balcom, H.M.1    Wiesner, G.2    Elston, R.C.3
  • 42
    • 0346832526 scopus 로고
    • The hypotheses that can be tested when there are interactions in an analysis of variance model
    • Elston RC, Bush N. The hypotheses that can be tested when there are interactions in an analysis of variance model. Biometrics 1964; 20:681-698.
    • (1964) Biometrics , vol.20 , pp. 681-698
    • Elston, R.C.1    Bush, N.2
  • 43
    • 0028641810 scopus 로고
    • Variance components testing in the longitudinal mixed effects model
    • Stram DO, Lee JW. Variance components testing in the longitudinal mixed effects model. Biometrics 1994; 50:1171-1177.
    • (1994) Biometrics , vol.50 , pp. 1171-1177
    • Stram, D.O.1    Lee, J.W.2
  • 45
    • 0010892125 scopus 로고
    • Orthogonalizing parametric link transformation families in binary regression analysis
    • Czado C, Santner TJ. Orthogonalizing parametric link transformation families in binary regression analysis. Canadian Journal of Statistics 1992; 20:51-61.
    • (1992) Canadian Journal of Statistics , vol.20 , pp. 51-61
    • Czado, C.1    Santner, T.J.2
  • 47
    • 0016076701 scopus 로고
    • Synergy and antagonism in cause-effect relationships
    • Rothman KJ. Synergy and antagonism in cause-effect relationships. American Journal of Epidemiology 1974; 99:385-388.
    • (1974) American Journal of Epidemiology , vol.99 , pp. 385-388
    • Rothman, K.J.1
  • 48
    • 0038040406 scopus 로고
    • Asymptotic properties of maximum likelihood estimators based on conditional specification
    • Sen PK. Asymptotic properties of maximum likelihood estimators based on conditional specification. Annals of Statistics 1979; 7:1019-1033.
    • (1979) Annals of Statistics , vol.7 , pp. 1019-1033
    • Sen, P.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.