References
- P.S. Albert, Imputation approaches for estimating diagnostic accuracy for multiple tests from partially verified designs, Biometrics 63(3) (2007), pp. 947–957. doi: 10.1111/j.1541-0420.2006.00734.x
- P.S. Albert, Estimating diagnostic accuracy of multiple binary tests with an imperfect reference standard, Stat. Med. 28(5) (2009), pp. 780–797. doi: 10.1002/sim.3514
- P.S. Albert and L.E. Dodd, A cautionary note on the robustness of latent class models for estimating diagnostic error without a gold standard, Biometrics 60(2) (2004), pp. 427–435. doi: 10.1111/j.0006-341X.2004.00187.x
- A. Chen, F. Meric-Bernstam, K.K. Hunt, H.D. Thames, M.J. Oswald, E.D. Outlaw, E.A. Strom, M.D. McNeese, H.M. Kuerer, M.I. Ross, S. Eva Singletary, F.C. Ames, B.W. Feig, A.A. Sahin, G.H. Perkins, N.R. Schechter, G.N. Hortobagyi, and T.A. Buchholz, Breast conservation after neoadjuvant chemotherapy: The M.D. Anderson cancer center experience, J. Clin. Oncol. 22 (2004), pp. 2303–2312. doi: 10.1200/JCO.2004.09.062
- N. Dendukuri and L. Joseph, Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests, Biometrics 57(1) (2001), pp. 158–167. doi: 10.1111/j.0006-341X.2001.00158.x
- R.M. Elashoff, G. Li, and N. Li, A joint model for longitudinal measurements and survival data in the presence of multiple failure types, Biometrics 64 (2008), pp. 762–771. doi: 10.1111/j.1541-0420.2007.00952.x
- B. Fisher, S. Anderson, J. Bryant, R.G. Margolese, M. Deutsch, E.R. Fisher, J.-H. Jeong, and N. Wolmark, Twenty-year follow-up of a randomized trial comparing total mastectomy, lumpectomy, and lumpectomy plus irradiation for the treatment of invasive breast cancer, New Engl. J. Med. 347 (2002), pp. 1233–1241. doi: 10.1056/NEJMoa022152
- R.J. Gray, A class of K-sample tests for comparing the cumulative incidence of a competing risk, Ann. Statist. 16 (1988), pp. 1141–1154. doi: 10.1214/aos/1176350951
- P. Gustafson, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments, CRC Press, Boca Raton, FL, 2003.
- R. Henderson, P. Diggle, and A. Dobson, Joint modelling of longitudinal measurements and event time data, Biostatistics 1(4) (2000), pp. 465–480. doi: 10.1093/biostatistics/1.4.465
- E. Huang, T.A. Buchholz, F. Meric, S. Krishnamurthy, N.Q. Mirza, F.C. Ames, B.W. Feig, H.M. Kuerer, M.I. Ross, S.E. Singletary, M.D. McNeese, E.A. Strom, and K.K. Hunt, Classifying local disease recurrences after breast conservation therapy based on location and histology: new primary tumors have more favorable outcomes than true local disease recurrences, Cancer 95 (2002), pp. 2059–2067. doi: 10.1002/cncr.10952
- G. Jones, W.O. Johnson, T.E. Hanson, and R. Christensen, Identifiability of models for multiple diagnostic testing in the absence of a gold standard, Biometrics 66(3) (2010), pp. 855–863. doi: 10.1111/j.1541-0420.2009.01330.x
- Y. Komoike, F. Akiyama, Y. lino, T. Ikeda, S. Tanaka-Akashi, S. Ohsumi, M. Kusama, M. Sano, E. Shin, K. Suemasu, H. Sonoo, T. Taguchi, T. Nishi, R. Nishimura, S. Haga, K. Mise, T. Kinoshita, S. Murakami, M. Yoshimoto, H. Tsukuma, and H. Inaji, Analysis of ipsilateral breast tumor recurrences after breast-conserving treatment based on the classification of true recurrences and new primary tumors, Breast Cancer 12 (2005), pp. 104–111. doi: 10.2325/jbcs.12.104
- J.F. Lawless and M. Zhan, Analysis of interval-grouped recurrent-event data using piecewise constant rate functions, Can. J. Statist. 26(4) (1998), pp. 549–565. doi: 10.2307/3315717
- E. Lesaffre and B. Spiessens, On the effect of the number of quadrature points in a logistic random effects model: an example, J. R. Stat. Soc. Ser. C Appl. Statist. 50(3) (2001), pp. 325–335. doi: 10.1111/1467-9876.00237
- S. Luo, X. Su, S. DeSantis, X. Huang, M. Yi, and K. Hunt, Joint model for a diagnostic test without a gold standard in the presence of a dependent terminal event, Stat. Med. 33(15) (2014), pp. 2554–2566. doi: 10.1002/sim.6101
- S. Luo, M. Yi, X. Huang, and K. Hunt, A Bayesian model for misclassified binary outcomes and correlated survival data with applications to breast cancer, Stat. Med. 32(13) (2013), pp. 2320–2334. doi: 10.1002/sim.5629
- G. Molenberghs and G. Verbeke, Models for Discrete Longitudinal Data, Springer, New York, 2005.
- N.J.D. Nagelkerke, V. Fidler, and M. Buwalda, Instrumental variables in the evaluation of diagnostic test procedures when the true disease state is unknown, Stat. Med. 7 (1988), pp. 739–744. doi: 10.1002/sim.4780070703
- A. Popple, L.G. Durrant, I. Spendlove, P. Rolland, I.V. Scott, S. Deen, and J.M. Ramage, The chemokine, CXCL12, is an independent predictor of poor survival in ovarian cancer, Br. J. Cancer 106 (2012), pp. 1306–1313. doi: 10.1038/bjc.2012.49
- D.A. Ren and R.A. Stone, A Bayesian adjustment for covariate misclassification with correlated binary outcome data, J. Appl. Stat. 34 (2007), pp. 1019–1034. doi: 10.1080/02664760701591895
- J.M. Robins, A. Rotnitzky, and L.P. Zhao, Estimation of regression coefficients when some regressors are not always observed, J. Amer. Statist. Assoc. 89 (1994), pp. 846–866. doi: 10.1080/01621459.1994.10476818
- S.E. Singletary, C. Allred, P. Ashley, L.W. Bassett, D. Berry, K.I. Bland, P.I. Borgen, G. Clark, S.B. Edge, D.F. Hayes, L.L. Hughes, R.V. Hutter, M. Morrow, D.L. Page, A. Recht, R.L. Theriault, A. Thor, D.L. Weaver, H.S. Wieand, and F.L. Greene, Revision of the American joint committee on cancer staging system for breast cancer, J. Clin. Oncol. 20(17) (2002), pp. 3576–3577. doi: 10.1200/JCO.2002.02.026
- T.E. Smith, D. Lee, B.C. Turner, D. Carter, and B.G. Haffty, True recurrence vs. new primary ipsilateral breast tumor relapse: an analysis of clinical and pathologic differences and their implications in natural history, prognoses, and therapeutic management, Int. J. Radiat. Oncol. Biol. Phys. 48(5) (2000), pp. 1281–1289. doi: 10.1016/S0360-3016(00)01378-X
- D. Spiegelman, B. Rosner, and R. Logan, Estimation and inference for logistic regression with covariate misclassification and measurement error in main study/validation study designs, J. Amer. Statist. Assoc. 95 (2000), pp. 51–61. doi: 10.1080/01621459.2000.10473898
- B. Zhang, Z. Chen, and P.S. Albert, Estimating diagnostic accuracy of raters without a gold standard by exploiting a group of experts, Biometrics 68(4) (2012), pp. 1294–1302. doi: 10.1111/j.1541-0420.2012.01789.x