References

[ABGK93] Andersen, P. K., Borgan, 0., Gill, R. D., and Keiding, N.: Statistical Models Based on Counting Processes. Springer-Verlag, New York (1993)

[BHN04

[BN99

[BN02 [BN04

[BNLZ05

[CS83 [GPK84

[HEL01

[HSI95

[HSI96a

[HSI96b

[HSI96c [HSI01

Bagdonavicius, V., Hafdi, M. A., and Nikulin, M.: Analysis of survival data with cross-effects of survival functions. Biostatis-tics, 5 415-425 (2004)

Bagdonavicius, V. and Nikulin, M.: Generalized proportional hazards model based on modified partial likelihood. Lifetime Data Analysis, 5 329-350 (1999)

Bagdonavicius, V. and Nikulin, M.: Accelerated Life Models. Chapman and Hall/CRC, London (2002)

Bagdonavicius, V. and Nikulin, M.: Semiparametric analysis of survival data with multiple crossing of survival functions. Preprint 0304,IFR "Public Health", University Victor Segalen Bordeaux 2, France (2004)

Bagdonavicius, V., Nikulin, M., Levuliene, R., and Zdorova, O.: Tests for homogeneity of survival distributions against non-location alternatives and statistical analysis of chemo and radio therapy data of the Gastrointestinal Tumor Study Group. Lifetime Data Analysis, to appear (2005)

Bickel, P. J., Klaasen, C. A., Ritov, Y., and Wellner, J. A.: Efficient and Adaptive Inference in Semiparametric Models., Johns Hopkins University Press, Baltimore (1993) Cox, D. R.: Regression models and life-tables (with discussion). Journal of the Royal Statistical Society, Series B, 34 187-220 (1972)

Csorgo, M.: Quantile Processes with Statistical Applications. SIAM, Philadelphia (1983)

Gore, S. M., Pocock, S. J., and Kerr, G. R.: Regression models and non-proportional hazards in the analysis of breast cancer survival. Applied Statistics, 33 176-195 (1984) Heller, G.: The Cox proportional hazards model with a partly linear relative risk function. Lifetime Data Analysis, 7 255-277 (2001)

Hsieh, F.: The empirical process approach for semiparametric two-sample models with heterogeneous treatment effect. Journal of the Royal Statistical Society, Series B, 57 735-748 (1995) Hsieh, F.: Empirical process approach in a two-sample location-scale model with censored data. The Annals of Statistics, 24 2705-2719 (1996a)

Hsieh, F.: Nonparametric and semiparametric estimation of the receiver operating characteristic curve. The Annals of Statistics, 24 25-40 (1996b)

Hsieh, F.: A transformation model for two survival curves: an empirical process approach. Biometrika, 83 519-528 (1996c) Hsieh, F.: On heteroscedastic Cox's regression models and its applications. Journal of the Royal Statistical Society, Series B, 63 63-79 (2001)

[MSS01] Martinussen, T., Scheike, T. H., and Skovgaard, Ib. M.: Efficient estimation of fixed and time-varying covariate effects in multiplicative intensity models. Scandinavian Journal of Statistics, 28 58-74 (2001)

[MUR93] Murphy, S.A.: Testing for a time-dependent coefficient in Cox's regression model. Scandinavian Journal of Statistics, 20 35-50 (1993)

[MS91] Murphy, S. A. and Sen, P. K.: Time dependent coefficients in a Cox-type regression model. Stochastic Processes and Their Applications, 39 153-180 (1991) [NLB98] Nielsen, J. P., Linton, O., and Bickel, P. J.: On a semiparamet-ric survival model with flexible covariate effect. The Annals of Statistics, 26 215-241 (1998) [SAS92a] Sasieni, P.: Non-orthogonal projections and their application to calculating the information in a partly linear Cox model. Scandinavian Journal of Statistics, 19 215-233 (1992a) [SAS92b] Sasieni, P.: Information bounds for the conditional hazard ratio in a nested family of regression models. Journal of the Royal Statistical Society, Series B, 54 627-635 (1992b) [VSS96] Valsecchi, M. G., Silvestri, D., and Sasieni, P.: Evaluation of long-term survival: use of diagnostics and robust estimators with Cox's proportional hazards model. Statistics in Medicine, 15 2763-2780 (1996)

[WU04a] Wu, H.-D. I.: Effect of model misspecification when omitting heterogeneity. In: Nikulin, M. S., Balakrishnan, N., Limnios, N., and Mesbah, M. (eds) Parametric and Semiparametric models with applications to reliability, survival analysis, and quality of life, 239-250. Birkhauser, Boston (2004a) [WU04b] Wu, H.-D. I.: A partial score test for difference among heterogeneous populations. Preprint, China Medical University, TAIWAN. (Under revision in Lifetime Data Analysis.) (2004b) [WH04] Wu, H.-D. I. and Hsieh, F.: Heterogeneity and varying effect in hazards regression. Preprint, China Medical University, TAIWAN (2004)

[WHC02] Wu, H.-D. I., Hsieh, F., and Chen, C.-H.: Validation of a het-eroscedastic hazards regression model. Lifetime Data Analysis, 8 21-34 (2002)

Was this article helpful?

0 0

Post a comment