References
- Crowder, M., 2001. Classical competing risks. Boca Raton, FL: Chapman & Hall/CRC.
- Delisle, Rodney R., Sullo, Pasquale, and Grivas, Dimitri A., 2003. Network-level pavement performance prediction model incorporating censored data. Transportation Research Record: Journal of the Transportation Research Board, 1853, 72–79, TRB, National Research Council, Washington, DC.
- Florida Department of Transportation (FDOT), 2008. Flexible pavement design manual, Florida Department of Transportation, Tallahassee, Florida, March.
- Gray, Bob, 2006. Cmprsk: subdistribution analysis of competing risks. R package version 2.1-7 [online]. Available from: http://www.r-project.org, http://biowww.dfci.harvard.edu/∼gray.
- Kalbfleisch, J.D. and Prentice, R.L., 2002. The statistical analysis of failure time data. New York: Wiley.
- Kochar, S.C., Lam, K.F., and Yip, P.S.F., 2002. Generalized supremum tests for the equality of cause specific Hazard rates. Lifetime Data Analysis, 8 (3), 277–288.
- Loizos, A. and Karlaftis, M.G., 2005. Pavement crack initiation prediction from in-service pavements: a duration model approach. Transportation Research Record: Journal of the Transportation Research Board, 1940, 38–42, TRB, National Research Council, Washington, DC.
- Paterson, W.D.O. and Chester, A.D., 1986. On predicting pavement surface distress with empirical models of failure time. Transportation Research Record: Journal of the Transportation Research Board, 1095, 45–56, TRB, National Research Council, Washington, DC.
- Pepe, M.S. and Mori, M., 1993. Kaplan-Meier, Marginal or conditional probability curves in summarizing competing risks failure time data?Statistics in Medicine, 12 (8), 737–751.
- Pintilie, M., 2006. Competing risks – a practical perspective. Chichester: Wiley.
- Prozzi, J.A. and Madanat, S.M., 2000. Using duration models to analyze experimental pavement failure data. Transportation Research Record: Journal of the Transportation Research Board, 1699, 87–94, TRB, National Research Council, Washington, DC.