References
- Kalbfleisch JD, Prentice RL. The statistical analysis of failure time data. New York: Wiley; 2011.
- Lawless JF. Statistical models and methods for lifetime data. New York: Wiley; 2003.
- Qin J, Shen Y. Statistical methods for analyzing right-censored length-biased data under Cox model. Biometrics. 2010;66:382–392. doi: 10.1111/j.1541-0420.2009.01287.x
- Huang CY, Follmann DA, Qin J. A maximum pseudo-profile likelihood estimator for the Cox model under length-biased sampling. Biometrika. 2012;99:199–210. doi: 10.1093/biomet/asr072
- Su YR, Wang JL. Modeling left-truncated and right-censored survival data with longitudinal covariate. Ann Statist. 2012;40:1465–1488. doi: 10.1214/12-AOS996
- Ning J, Qin J, Shen Y. Semiparametric accelerated failure time model for length-biased data with application to dementia study. Stat Sin. 2014;24:313–333.
- Shen Y, Ning J, Qin J. Analyzing length-biased data with semiparametric transformation and accelerated failure time models. J Am Stat Assoc. 2009;104:1192–1202. doi: 10.1198/jasa.2009.tm08614
- Chen L-P. Pseudo likelihood estimation for the additive hazards model with data subject to left-truncation and right-censoring. Stat Interface. 2019;12:135–148. doi: 10.4310/SII.2019.v12.n1.a12
- Huang CY, Qin J. Semiparametric estimation for the additive hazards model with left-truncated and right-censored data. Biometrika. 2013;100:877–888. doi: 10.1093/biomet/ast039
- Lin DY, Wei LJ. The robust inference for the Cox proportional hazards model. J Am Stat Assoc. 1989;84:1074–1078. doi: 10.1080/01621459.1989.10478874
- Lin W, Lv J. High-dimensional additive hazards regression. J Am Stat Assoc. 2013;108:247–264. doi: 10.1080/01621459.2012.746068
- Carroll RJ, Ruppert D, Stefanski LA, et al. Measurement error in nonlinear model. New York: Chapman & Hall/CRC; 2006.
- Chen L‐P. Statistical analysis with measurement error or misclassification: Strategy, method and application. Yi, Grace Y. New York: Springer‐Verlag. Biometrics. 2019;75(3):1045–1046. https://doi.org/10.1111/biom.13130
- Nakamura T. Proportional hazards model with covariates subject to measurement error. Biometrics. 1992;48:829–838. doi: 10.2307/2532348
- Buzas JF. Unbiased scores in proportional hazards regression with covariate measurement error. J Stat Plan Inference. 1998;67:247–257. doi: 10.1016/S0378-3758(97)00108-0
- Hu C, Lin DY. Cox regression with covariate measurement error. Scand J Statist. 2002;29:637–655. doi: 10.1111/1467-9469.00310
- Huang Y, Wang CY. Cox regression with accurate covariates unascertainable: a nonparametric correction approach. J Am Stat Assoc. 2000;95:1209–1219. doi: 10.1080/01621459.2000.10474321
- Xie SH, Wang CY, Prentice RL. A risk set calibration method for failure time regression by using a covariate reliability sample. J R Stat Soc Ser B. 2001;63:855–870. doi: 10.1111/1467-9868.00317
- Fan J, Li R. Variable selection for Cox's proportional hazards model and frailty model. Ann Statist. 2002;30:74–99. doi: 10.1214/aos/1015362185
- Zhang HH, Lu W. Adaptive Lasso for Cox's proportional hazards model. Biometrika. 2007;94:691–703. doi: 10.1093/biomet/asm037
- Li J, Gu M. Adaptive LASSO for general transformation models with right censored data. Comput Statist Data Anal. 2012;56:2583–2597. doi: 10.1016/j.csda.2012.02.023
- Hosmer DW, Lemeshow S, May S. Applied survival analysis: regression modeling of time to event data. New York: John Wiley and Sons Inc.; 2008.
- Chen L-P. Semiparametric estimation for the transformation model with length-biased data and covariate measurement error. J Stat Comput Simul. 2020;90:420–442. doi: 10.1080/00949655.2019.1687700
- Chen L-P. Semiparametric estimation for cure survival model with left-truncated and right-censored data and covariate measurement error. Statistics & Probability Letters. 2019;154:108547. http://doi.org/10.1016/j.spl.2019.06.023
- Chen L-P. Causal inference for left-truncated and right-censored data with covariate measurement error. Computational and Applied Mathematics. 2020;39(2). http://doi.org/10.1007/s40314-020-01152-4
- Wang M-C. Nonparametric estimation from cross-sectional survival data. J Am Stat Assoc. 1991;86:130–143. doi: 10.1080/01621459.1991.10475011
- Tibshirani R. Regression shrinkage and selection via the LASSO. J R Stat Soc Ser B. 1996;58:267–288.
- Zou H. The adaptive lasso and its oracle properties. J Am Stat Assoc. 2006;101:1418–1429. doi: 10.1198/016214506000000735
- Fan J, Li R. Variable selection via nonconcave penalized likelihood and its oracle properties. J Am Stat Assoc. 2001;96:1348–1360. doi: 10.1198/016214501753382273
- Lu W, Zhang HH. Variable selection for proportional odds model. Stat Med. 2007;26:3771–3781. doi: 10.1002/sim.2833
- Wang H, Li R, Tsai C. Tuning parameter selectors for the smoothly clipped absolute deviation method. Biometrika. 2007;94:553–568. doi: 10.1093/biomet/asm053
- Cook JR, Stefaski LA. Simulation-extrapolation estimation in parametric measurement error models. J Am Stat Assoc. 1994;89:1314–1328. doi: 10.1080/01621459.1994.10476871
- Bauldry S, Bollen KA, Adair LS. Evaluating measurement error in readings of blood pressure for adolescents and young adults. Blood Press. 2015;24:96–102. doi: 10.3109/08037051.2014.986952
- Rothman KJ. BMI-related errors in the measurement of obesity. Int J Obes. 2008;32:56–59. doi: 10.1038/ijo.2008.87