Impact of dependent left truncation in semiparametric competing risks methods: A simulation study

References

• Andersen, P. K., Borgan, O., Gill, R. D., Keiding, N. (1993). Statistical Models Based on Counting Processes. New York: Springer.
   Google Scholar
• Andersen, P. K., Geskus, R. B., de Witte, T., Putter, H. (2012). Competing risks in epidemiology: Possibilities and pitfalls. International Journal of Epidemiology 41:861–870.
   Google Scholar
• Anzures-Cabrera, J., Hutton, J. L. (2010). Competing risks, left truncation and late entry effect in A-bomb survivors cohort. Journal of Applied Statistics 37:821–831.
   Google Scholar
• Bakoyannis, G., Touloumi, G. (2012). Practical methods for competing risks data: A review. Statistical Methods in Medical Research 21:257–272.
   Google Scholar
• Burton, A., Altman, D. G., Royston, P. (2006). The design of simulation studies in medical statistics. Statistics in Medicine 25:4279–4292.
   Google Scholar
• CASCADE collaboration, (2000). Changes in the uptake of antiretroviral therapy and survival in people with known duration of HIV infection in Europe: Results from CASCADE. HIV Medicine 1:224–231.
   Google Scholar
• Fine, J. P., Gray, R. J. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of the American Statistical Association 94:496–509.
   Google Scholar
• Geskus, R. B. (2011). Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring. Biometrics 67:39–49.
   Google Scholar
• Grambauer, N., Schumacher, M., Beyersmann, J. (2010). Proportional subdistribution hazards modelling offers a summary analysis, even if misspecified. Statistics in Medicine 29:875–884.
   Google Scholar
• Gray, R. J. (1988). A class of k-sample tests for comparing the cumulative incidence of a competing risk. Annals of Statistics 16:1141–1154.
   Google Scholar
• Kalbfleisch, J. D., Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data. 2nd ed. New York: Wiley.
   Google Scholar
• Lai, T. L., Ying, Z. (1991). Rank regression methods for left-truncated and right-censored data. The Annals of Statistics 19:531–556.
   Google Scholar
• Latouche, A., Boisson, V., Porcher, R., Chevret, S. (2007). Misspecified regression model for the subdistribution hazard of a competing risk. Statistics in Medicine 26:965–974.
   Google Scholar
• Martin, E. C., Betensky, R. A. (2005). Testing quasi-independence of failure and truncation times via conditional Kendall’s Tau. Journal of the American Statistical Association 100:484–492.
   Google Scholar
• Matsuura, M., Eguchi, S. (2005). Modeling late entry bias in survival analysis. Biometrics 61:559–566.
   Google Scholar
• Putter, H., Fiocco, M., Geskus, R. B. (2007). Tutorial in biostatistics: Competing risks and multi-state models. Statistics in Medicine 26:2389–2430.
   Google Scholar
• Robins, J. M., Rotnitzky, A. (1992). Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers. Boston, MA: Birkhäuser.
   Google Scholar
• Shen, P. S. (2011). Proportional subdistribution hazards regression for left- truncated competing risks data. Journal of Nonparametric Statistics 23:885–895.
   Google Scholar
• Struthers, C. A., Kalbfleisch, J. D. (1986). Misspecified proportional hazard models. Biometrika 73:363–369.
   Google Scholar
• Touloumi, G., Pantazis, N., Antoniou, A., Stirnadel, H. A., Walker, S. A., Porter, K.; CASCADE Collaboration., (2006). Highly active antiretroviral therapy interruption: Predictors and virological and immunologic consequences. Journal of Acquired Immune Deficiency Syndromes 42:554–561.
   Google Scholar
• Tsai, W. Y., Jewell, N. P., Wang, M. C. (1987). A note on the product-limit estimator under right censoring and left truncation. Biometrika 74:883–886.
   Google Scholar
• van der Helm, J., Geskus, R. B., Sabin, C., Meyer, L., Del Amo, J., Chêne, G., Dorrucci, M., Muga, R., Porter, K., Prins, M.; CASCADE Collaboration in EuroCoord., (2013). Effect of HCV infection on cause-specific mortality after HIV seroconversion, before and after 1997. Gastroenterology 144:751–760.
   Google Scholar
• Zhang, X., Zhang, M. J., Fine, J. P. (2009). A mass redistribution algorithm for right-censored and left-truncated time to event data. Journal of Statistical Planning and Inference 139:3329–3339.
   Google Scholar
• Zhang, X., Zhang, M. J., Fine, J. P. (2011). A proportional hazards regression model for the subdistribution with right-censored and left-truncated competing risks data. Statistics in Medicine 30:1933–1951.
   Google Scholar