Variable selection for general transformation models with ranking data

References

• D. M. Dabrowska, K. A. Doksum, Estimation and testing in the two-sample generalized odds rate model, J. Amer. Statist. Assoc. 83 (1988), pp. 744–749 doi: 10.1080/01621459.1988.10478657
   Web of Science ®Google Scholar
• D. Cox, Partial likelihood, Biometrika 62 (1975), pp. 269–276 doi: 10.1093/biomet/62.2.269
   Web of Science ®Google Scholar
• S. Bennett, Analysis of survival data by the proportional odds model, Stat. Med. 2 (1983), pp. 273–277 doi: 10.1002/sim.4780020223
   PubMedGoogle Scholar
• K. Lam, T. Leung, Marginal likelihood estimation for proportional odds models with right censored data, Lifetime Data Anal. 7 (2001), pp. 39–54 doi: 10.1023/A:1009673026121
   PubMed Web of Science ®Google Scholar
• L. Thurstone, A law of comparative judgment, Psychol. Rev. 34 (1927), pp. 273–286 doi: 10.1037/h0070288
   Google Scholar
• L. Thurstone, Rank order as a psychological method, J. Exp. Psychol. 14 (1931), pp. 187–201 doi: 10.1037/h0070025
   Google Scholar
• H. Zhang, W. Lu, The adaptive-LASSO for Cox's proportional hazards model, Biometrika 94 (2007), pp. 691–703 doi: 10.1093/biomet/asm037
   Web of Science ®Google Scholar
• W. Lu, H. Zhang, Variable selection for proportional odds model, Stat. Med. 26 (2007), pp. 3771–3781 doi: 10.1002/sim.2833
   PubMed Web of Science ®Google Scholar
• M. Gu, L. Sun, G. Zuo, A baseline-free procedure for transformation models under interval censorship, Lifetime Data Anal. 11 (2005), pp. 473–488 doi: 10.1007/s10985-005-5235-x
   PubMed Web of Science ®Google Scholar
• B. Huang, Asymptotic properties of general transformation models, Chinese University of Hong Kong (2005) Thesis
   Google Scholar
• Z. Ni, Misspecified general transformation model and general transformation model with mixed-effects, Ph.D. thesis, The Chinese University of Hong Kong (2008)
   Google Scholar
• D. Altman, P. Andersen, Bootstrap investigation of the stability of a Cox regression model, Stat. Med. 8 (1989), pp. 771–783 doi: 10.1002/sim.4780080702
   PubMed Web of Science ®Google Scholar
• W. Sauerbrei, M. Schumacher, A bootstrap resampling procedure for model building: Application to the Cox regression model, Stat. Med. 11 (1992), pp. 2093–2109 doi: 10.1002/sim.4780111607
   PubMed Web of Science ®Google Scholar
• D. Faraggi, R. Simon, Bayesian variable selection method for censored survival data, Biometrics 54 (1998), pp. 1475–1485 doi: 10.2307/2533672
   PubMed Web of Science ®Google Scholar
• J. Ibrahim, M. Chen, S. Maceachern, Bayesian variable selection for proportional hazards models, Canad. J. Statist. 27 (1999), pp. 701–717 doi: 10.2307/3316126
   Web of Science ®Google Scholar
• J. Fan, R. Li, Variable selection for Cox's proportional hazards model and frailty model, Ann. Statist. 30 (2002), pp. 74–99 doi: 10.1214/aos/1015362185
   Web of Science ®Google Scholar
• R. Tibshirani, Regression shrinkage and selection via the lasso, J. R. Stat. Soc. Ser. B Methodol. 58 (1996), pp. 267–288
   Google Scholar
• R. Tibshirani, The lasso method for variable selection in the Cox mode, Stat. Med. 16 (1997), pp. 385–395 doi: 10.1002/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2-3
   PubMed Web of Science ®Google Scholar
• J. Fan, Comment on ‘Wavelet in statistics: A review’ by A. Antoniadis, J. Ital. Statist. Soc. 6 (1997), pp. 131–138 doi: 10.1007/BF03178906
   Google Scholar
• A. Antoniadis, Wavelets in statistics: A review (with discussion), J. Ital. Statist. Assoc. 6 (1997), pp. 97–144
   Google Scholar
• M. Gu, F. Kong, A stochastic approximation algorithm with Markov chain Monte-Carlo method for incomplete data estimation problems, Proc. Natl. Acad. Sci. USA 95 (1998), pp. 7270–7274 doi: 10.1073/pnas.95.13.7270
   PubMed Web of Science ®Google Scholar
• J. Fan, R. Li, Variable selection via nonconcave penalized likelihood and its oracle properties, J. Amer. Statist. Assoc. 96 (2001), pp. 1348–1360 doi: 10.1198/016214501753382273
   Web of Science ®Google Scholar
• Y. Zhang, R. Li, C. Tsai, Regularization parameter selections via generalized information criterion, J. Amer. Statist. Assoc. 105 (2010), pp. 312–323 doi: 10.1198/jasa.2009.tm08013
   PubMed Web of Science ®Google Scholar
• H. Wang, R. Li, C. Tsai, Tuning parameter selectors for the smoothly clipped absolute deviation method, Biometrika 94 (2007), pp. 553–568 doi: 10.1093/biomet/asm053
   PubMed Web of Science ®Google Scholar
• R. Losey, J. Talbott, Back on the track with the efficient markets hypothesis, J. Finance 7 (1980), pp. 1039–1043 doi: 10.1111/j.1540-6261.1980.tb03520.x
   Google Scholar
• D. Hausch, W. Ziemba, M. Rubinstein, Efficiency of the market for racetrack betting, Manag. Sci. 27 (1981), pp. 1435–1452 doi: 10.1287/mnsc.27.12.1435
   Web of Science ®Google Scholar
• R. Bolton, R. Chapman, Searching for positive returns at the track: A multinomial logit model for handicapping horse races, Manag. Sci. 32 (1986), pp. 1040–1060 doi: 10.1287/mnsc.32.8.1040
   Web of Science ®Google Scholar
• P. Gabriel, J. Marsden, An examination of market efficiency in British racetrack betting, J. Political Econ. 98 (1990), pp. 874–85 doi: 10.1086/261710
   Web of Science ®Google Scholar
• P. Gabriel, J. Marsden, An examination of efficiency in British racetrack betting: Errata and corrections, J. Political Econ. 99 (1991), pp. 657–659 doi: 10.1086/261772
   Web of Science ®Google Scholar
• W. Benter, Computer based horse race handicapping and wagering systems: A report, In Efficiency of Racetrack Betting Markets, D. B. Hausch, Lo S.Y. Victor, W. T. Ziemba, eds., Academic Press, New York (1994), pp. 183–198
   Google Scholar
• M. Sung, J. Johnson, A. Bruce, Searching for semi-strong form inefficiency in the UK racetrack betting market, In Information Efficiency in Financial and Betting Markets, L. Vaughan Williams, ed., Cambridge University Press, Cambridge (2005), pp. 179–192
   Google Scholar
• K. Chen, Z. Jin, Z. Ying, Semiparametric analysis of transformation models with censored data, Biometrika 89 (2002), pp. 659–668 doi: 10.1093/biomet/89.3.659
   Web of Science ®Google Scholar
• W. Lu, Y. Liang, Empirical likelihood inference for linear transformation models, J. Multivariate Anal. 97 (2006), pp. 1586–1599 doi: 10.1016/j.jmva.2005.09.007
   Web of Science ®Google Scholar
• J. Huang, Efficient estimation of the partially linear additive Cox model, Ann. Statist. 27 (1999), pp. 1536–1563 doi: 10.1214/aos/1017939141
   Web of Science ®Google Scholar