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Original Articles

Analysis of bivariate binary data with possible chances of wrong ascertainment

, &
Pages 724-738 | Received 14 Sep 2011, Accepted 16 Aug 2012, Published online: 21 Sep 2012

References

  • L. Miscimarra, C. Stein, C. Millard, A. Kluge, K. Cartier, L. Freebairn, A. Hansen, L. Shriberg, H.G. Taylor, B. Lewis, and S.K. Iyengar, Further evidence of pleiotropy influencing speech and language: Analysis of the DYX8 region, Hum. Hered. 63 (2007), pp. 47–58. doi: 10.1159/000098727
  • R.A. Betensky and A.S. Whittemore, An analysis of correlated multivariate binary data: Application to familial cancers of the ovary and breast, Appl. Stat. J. R. Soc. Ser. C 45 (1996), pp. 411–429.
  • R. Bustami, E. Lessafre, G. Molenberghs, R. Loos, M. Danckaerts, and R. Vlietinck, Modelling bivariate ordinal responses smoothly with examples from ophthalmology and genetics, Stat. Med. 20 (2001), pp. 1825–1842. doi: 10.1002/sim.793
  • J.R. Dale, Global cross-ratio models for bivariate discrete ordered responses, Biometrics 41 (1986), pp. 909–917. doi: 10.2307/2530704
  • G. Molenberghs and E. Lesaffre, Marginal modeling of correlated ordinal data using Plackett distribution, J. Am. Stat. Assoc. 89 (1994), pp. 633–644. doi: 10.1080/01621459.1994.10476788
  • J.M. Neuhaus, J.D. KalbPeisch, and W.W. Hauck, A comparison of cluster specific and population averaged approaches for analyzing correlated binary data, Int. Stat. Rev. 59 (1991), pp. 25–35. doi: 10.2307/1403572
  • K.Y. Liang, S.L. Zeger, and B. Qaqish, Multivariate regression analyses for categorical data, J. Am. Stat. Soc. Ser. B 54(1) (1992), pp. 3–40.
  • K.Y. Liang and S.L. Zeger, Longitudinal data analysis using generalized linear models, Biometrika 73 (1986), pp. 13–22. doi: 10.1093/biomet/73.1.13
  • R.C. Elston and E. Sobel, Sampling considerations in the gathering and analysis of pedigree data, Am. J. Hum. Genet. 31 (1979), pp. 62–69.
  • W.L. Ewens and N.C.E. Shute, A resolution of the ascertainment sampling problem. I. Theory, Theor. Popul. Biol. 30 (1986), pp. 388–412. doi: 10.1016/0040-5809(86)90042-0
  • P. Kraft and D.C. Thomas, Bias and efficiency in family-based gene-characterisation studies: Conditional, prospective, retrospective and joint likelihoods, Am. J. Hum. Genet. 66 (2000), pp. 1119–1131.
  • N.E. Morton, Genetic tests under incomplete ascertainment, Am. J. Hum. Genet. 11 (1959), pp. 1–16.
  • J. Stene, Choice of ascertainment model II. Discrimination between multi-proband models by means of birth order data, Ann. Hum. Genet. 42 (1979), pp. 493–505. doi: 10.1111/j.1469-1809.1979.tb00682.x
  • S.E. Hodge and V.J. Vieland, The essence of single ascertainment, Genetics 144 (1996), pp. 1215–1223.
  • R.A. Fisher, The effect of methods of ascertainment upon the estimation of frequencies, Ann. Eugen. 6 (1934), pp. 13–25. doi: 10.1111/j.1469-1809.1934.tb02105.x
  • C.M. Stein, J.H. Schick, G. Taylor, L.D. Shriberg, C. Millard, A. Kundtz-Kluge, K. Russo, and J. Stene, Choice of ascertainment model II. Discrimination between multi-proband models by means of birth order data, Ann. Hum. Genet. 42 (1979), pp. 493–505. doi: 10.1111/j.1469-1809.1979.tb00682.x
  • C. Marino, S. Mascheretti, R. Valentina, F. Cattaneo, C. Rigoletto, M. Rusconi, J.R. Gruen, R. Giorda, C. Lazazzera, and M. Molteni, Pleiotropic effects of DCDC2 and DYX1C1 genes on language and mathematics traits in nuclear families of developmental dyslexia, Behav. Genet. 41 (2011), pp. 67–76. doi: 10.1007/s10519-010-9412-7
  • P.R. Burton, L.J. Palmer, K. Jacobs, L.J. Keen, J.M. Olson, and R.C. Elston, Ascertainment adjustment: Where does it take us? Am. J. Hum. Genet. 69 (2000), pp. 1505–1514.
  • P.R. Burton, Comments on ‘Ascertainment adjustment in complex diseases’, Genet. Epidemiol. 23 (2002), pp. 214–218. doi: 10.1002/gepi.10199
  • D.V. Glidden and K.Y. Liang, Ascertainment adjustment in complex diseases, Genet. Epidemiol. 23 (2002), pp. 201–208. doi: 10.1002/gepi.10204
  • R.A. Fisher, The correlation between relatives on the supposition of Mendelian inheritance, Trans. R. Soc. Edinburgh 52 (1918), pp. 399–433.
  • C.D. Paulino, G. Silva, and J.A. Achar, Bayesian analysis of correlated misclassified binary data, Comput. Stat. Data Anal. 49 (2005), pp. 1120–1131. doi: 10.1016/j.csda.2004.07.004
  • A. McGlothlin, J.D. Stamey, and J.W. Seaman, Binary regression with misclassified response and covariate subject to measurement error: A Bayesian approach, Biomet. J. 50(1) (2008), pp. 123–134. doi: 10.1002/bimj.200710402
  • M.P. Epstein, X. Lin, and M. Boehnke, Ascertainment-adjusted parameter estimates revisited, Am. J. Hum. Genet. 70 (2002), pp. 886–895.
  • A. Kottas, P. Muller, and F. Quintana, Nonparametric Bayesian modeling from multivariate ordinal data, J. Comput. Graph. Stat. 14 (2005), pp. 610–625. doi: 10.1198/106186005X63185
  • A.F.M. Smith and G.O. Roberts, Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods, J. R. Stat. Soc., Ser. B. 55 (1993), pp. 3–24.
  • J. Besag, P. Green, D. Higdon, and K. Mengersen, Bayesian computation and stochastic systems (with discussion), Stat. Sci. 10 (1995), pp. 3–66. doi: 10.1214/ss/1177010123
  • A. Gelman, & R.B. Rubin, Inference from iterative simulation using multiple sequences, Stat. Sci. 7 (1992), pp. 457–472. doi: 10.1214/ss/1177011136

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