SEARCH

SEARCH BY CITATION

References

  • Andersen, P. K. & Gill, R. D. (1982). Cox's regression model for counting processes: a large sample study. Ann. Statist. 10, 11001120.
  • Begun, J. M., Hall, W. J., Huang, W.-M. & Wellner, J. A. (1983). Information and asymptotic efficiency in parametric-nonparametric models. Ann. Statist. 11, 432452.
  • Binder, D. A. (1992). Fitting Cox's proportional hazards models from survey data. Biometrika 79, 139147.
  • Borgan, Ø., Langholz, B., Samuelsen, S. O., Goldstein, L. & Pogoda, J. (2000). Exposure stratified case-cohort designs. Lifetime Data Anal. 6, 3958.
  • Breslow, N. (1974). Covariance analysis of censored survival data. Biometrics 30, 8999.
  • Breslow, N. E. & Holubkov, R. (1997). Maximum likelihood estimation of logistic regression parameters under two-phase, outcome-dependent sampling. J. Roy. Statist. Soc. Ser. B 59, 447461.
  • Breslow, N., McNeney, B. & Wellner, J. A. (2003). Large sample theory for semiparametric regression models with two-phase, outcome dependent sampling. Ann. Statist. 31, 11101139.
  • Chen, K. (2001). Generalized case-cohort sampling. J. Roy. Statist. Soc. Ser. B Statist. Methodol. 63, 791809.
  • Cox, D. R. (1972). Regression models and life-tables. J. Roy. Statist. Soc. Ser. B 34, 187220.
  • Henmi, M. & Eguchi, S. (2004). A paradox concerning nuisance parameters and projected estimating functions. Biometrika 91, 929941.
  • Horvitz, D. G. & Thompson, D. J. (1952). A generalization of sampling without replacement from a finite universe. J. Amer. Statist. Assoc. 47, 663685.
  • Kalbfleisch, J. D. & Lawless, J. F. (1988). Likelihood analysis of multi-state models for disease incidence and mortality. Statist. Med. 7, 149160.
  • Kulich, M. & Lin, D. Y. (2000). Additive hazards regression for case-cohort studies. Biometrika 87, 7387.
  • Kulich, M. & Lin, D. Y. (2004). Improving the efficiency of relative-risk estimation in case-cohort studies. J. Amer. Statist. Assoc. 99, 832844.
  • Lawless, J. F., Kalbfleisch, J. D. & Wild, C. J. (1999). Semiparametric methods for response-selective and missing data problems in regression. J. Roy. Statist. Soc. Ser. B Statist. Methodol. 61, 413438.
  • Lin, D. Y. (2000). On fitting Cox's proportional hazards models to survey data. Biometrika 87, 3747.
  • Lin, D. Y. & Ying, Z. (1994). Semiparametric analysis of the additive risk model. Biometrika 81, 6171.
  • Manski, C. F. & Lerman, S. R. (1977). The estimation of choice probabilities from choice based samples. Econometrica 45, 19771988.
  • Nan, B. (2004). Efficient estimation for case-cohort studies. Can. J. Statist. 32, 403419.
  • Nan, B., Emond, M. J. & Wellner, J. A. (2004). Information bounds for Cox regression models with missing data. Ann. Statist. 32 723753.
  • Neyman, J. (1938). Contribution to the theory of sampling human populations. J. Amer. Statist. Assoc. 33, 101116.
  • Overton, S. W. & Stehman, S. V. (1995). The Horvitz–Thompson theorem as a unifying perspective for probability sampling: With examples from natural resource sampling. Amer. Statist. 49, 261268.
  • Pierce, D. A. (1982). The asymptotic effect of substituting estimators for parameters in certain types of statistics. Ann. Statist. 10, 475478.
  • Præstgaard, J. & Wellner, J. A. (1993). Exchangeably weighted bootstraps of the general empirical process. Ann. Probab. 21, 20532086.
  • Pugh, M., Robins, J., Lipsitz, S. & Harrington, D. (1994). Inference in the Cox proportional hazards model with missing covariates. Technical Report 758Z. Harvard School of Public Health, Boston, MA.
  • Robins, J. M., Rotnitzky, A. & Zhao, L. P. (1994). Estimation of regression coefficients when some regressors are not always observed. J. Amer. Statist. Assoc. 89, 846866.
  • Scheike, T. H. & Martinussen, T. (2004). Maximum likelihood estimation for Cox's regression model under case-cohort sampling. Scand. J. Statist. 31, 283293.
  • Scott, A. & Wild, C. (2002). On the robustness of weighted methods for fitting models to case-control data. J. Roy. Statist. Soc. Ser. B Statist. Methodol. 64, 207219.
  • Scott, A. J. & Wild, C. J. (1986). Fitting logistic models under case-control or choice based sampling. J. Roy. Statist. Soc. Ser. B 48, 170182.
  • Scott, A. J. & Wild, C. J. (1997). Fitting regression models to case-control data by maximum likelihood. Biometrika 84, 5771.
  • Self, S. G. & Prentice, R. L. (1988). Asymptotic distribution theory and efficiency results for case-cohort studies. Ann. Statist. 16, 6481.
  • Skinner, C. J., Holt, D. & Smith, T. M. F. (eds) (1989). Analysis of complex surveys. Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics. John Wiley & Sons Ltd, Chichester.
  • Therneau, T. M. & Grambsch, P. M. (2000). Modeling survival data: extending the Cox model. Statistics for Biology and Health. Springer–Verlag, New York, NY.
  • Van Der Vaart, A. W. (1998). Asymptotic statistics, vol. 3 of Cambridge series in statistical and probabilistic mathematics. Cambridge University Press, Cambridge.
  • Van Der Vaart, A. W. & Wellner, J. A. (1996). Weak convergence and empirical processes. Springer Series in Statistics. Springer-Verlag, New York, NY.
  • Xie, Y. & Manski, C. F. (1989). The logit model and response-based samples. Sociol. Methods Res. 17, 283302.