References
- Aalen, O. O. (1980). A model for nonparametric regression analysis of counting processes. In W. Klonecki, A. Kozek and J. Rosinski (Eds.), Mathematical Statistics and Probability Theory, Springer, New York, 1-25.
- Aalen, O. O. (1989). A linear regression model for the analysis of life times, Statistics in Medicine, 8, 907-925. https://doi.org/10.1002/sim.4780080803
- Cox, D. R. (1972). Regression models and life-tables, Journal of Royal Statistical Society Series B (Methodological), 34, 187-220.
- Embury, S. H., Elias, L., Heller, P. H., Hood, C. E., Greenberg, P. L. and Schrier, S. L. (1977). Remission maintenance therapy in acute myelogenous leukemia, Western Journal of Medicine, 126, 267-272.
- Gerds, T. A., Kattan, M. W., Schumacher, M. and Yu, C. (2013). Estimating a time-dependent con- cordance index for survival prediction models with covariate dependent censoring, Statistics in Medicine, 32, 2173-2184. https://doi.org/10.1002/sim.5681
- Gill, R. D. (1980). Censoring and stochastic integrals, Statistica Neerlandica, 34, 124. https://doi.org/10.1111/j.1467-9574.1980.tb00692.x
- Good, P. (2000). Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses (2nd ed.), Springer, New York.
- Heitjan, D. F. (1989). Inference from grouped continuous data: A review, Statistical Science, 4, 164-179. https://doi.org/10.1214/ss/1177012601
- Huffer, F. W. and McKeague, I. W. (1991). Weighted test squares estimation for Aalen's additive risk model, Journal of the American, 86, 114-129.
- Kalbfleisch, J. D. and Prentice, R. L. (1980). The Statistical Analysis of Failure Time Data, Wiley, New York.
- Lin, D. Y. and Ying, Z. (1994). Semiparametric analysis of the additive risk model, Biometrika, 81, 61-71. https://doi.org/10.1093/biomet/81.1.61
- Martinussen, T. and Scheike, T. H. (2006). Additive hazards models, In Dynamic Regression Models for Survival Data, Springer, New York, 103-173
- Martinussen, T., Vansteelandt, S., Gerster, M. and von Hjelmborg, J. (2011). Estimation of direct effects for survival data by using the Aalen additive hazards model, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 73, 773-788. https://doi.org/10.1111/j.1467-9868.2011.00782.x
- McKeague, I. W. (1988). A counting process approach to the regression analysis of grouped survival data, Stochastic Processes and Their Applications, 28, 221-239. https://doi.org/10.1016/0304-4149(88)90097-X
- McKeague, I. W. and Sasieni, P. D. (1994). A partly parametric additive risk model, Biometrika, 81, 501-514. https://doi.org/10.1093/biomet/81.3.501
- Neuhaus, G. (1993). Conditional rank tests for the two-sample problem under random censorship, Annals of Statistics, 21, 1760-1779. https://doi.org/10.1214/aos/1176349396
- Park, H. I. (1993). Nonparametric rank-order tests for the right censored and grouped data in linear model, Communications in Statistics-Theory and Methods, 22, 3143-3158. https://doi.org/10.1080/03610929308831207
- Park, H. I. and Hong, S. M. (2009). A test procedure for right censored data under the additive model, Communications of the Korean Statistics Society, 16, 325-334. https://doi.org/10.5351/CKSS.2009.16.2.325
- Prentice, R. L. and Gloeckler, L. A. (1978). Regression analysis of grouped survival data with application to breast cancer data, Biometrics, 34, 57-67. https://doi.org/10.2307/2529588
- Scheike, T. H. (2002). The additive nonparametric and semiparametric Aalen model as the rate function for a counting process, Lifetime Data Analysis, 8, 247-262. https://doi.org/10.1023/A:1015849821021
- Yin, G. and Cai, J. (2004). Additive hazards model with multivariate failure time data, Biometrika, 91, 801-818. https://doi.org/10.1093/biomet/91.4.801
- Zeng, D. and Cai, J. (2010). A semiparametric additive rate model for recurrent events with an informative terminal event, Biometrika, 97, 699-712. https://doi.org/10.1093/biomet/asq039