Comment

Journal of the American Statistical Association

Volumn 95, Issue 450, 2000, Pages 477-482

  Robins, James M ^a   Rotnitzky, Andrea ^a   Van Der Laan, Mark ^b  

^a Boston University Medical Campus   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85012495699     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.2000.10474224     Document Type: Article

References (19)

1. Dabrowska, D. M. (1988). “Kaplan-Meier Estimator on the Plane,” The Annals of Statistics, 16, 1475-1489.
2. Gill, R. D., Van der Laan M. J., and Robins, J. M. (1997), “Coarsening at Random: Characterizations. Conjectures and Counterexamples.” in Proceedings of the First Seattle Symposium on Survival Analysis, eds. D. Y. I.in and T. R. Fleming. New York: Springer, pp. 255-294.
3. Hastic, T. J., and Tibshirani, R. J. (1995). Generalized Additive Models, New York: Chapman and Hall.
4. Hcitjan, D. F., and Rubin, D. B. (1991), “Ignorability and Coarse Data” The Annals of Statistics. 19. 2244-2253.
5. Jacobsen, N., and Keiding, N. (1995). “Coarsening at Random in General Sample Spaces and Random Censoring in Continuous Time.” The Annals of Statistics, 23, 774-786.
6. Kress, R. (1989). Linear Integral Equations, Herlin: Springer-Verlag.
7. Lin, D. Y., Sun, W., and Ying, Z. (1999), “Estimation of the Gap Distribution.” Piometrika, 86, 350-359.
8. Prentice, R. L., and Cai, J. (1992), “Covariance and Survivor Function Estimation Using Censored Multivariate Failure Time Data,” Biomctrika. 79. 495-512.
9. Robins, J. M. (1999), “Marginal Structural Models versus Structural Nested Models as Tools for Causal Inference.” in Statistical Models in Epidemiology: The Environment and Clinical Trials, eds. M. E. Halloran and D. Berry, NY: Springer-Verlag, pp. 95-134.
10. Robins, J. M. (2000). “Robust Estimation in Sequentially Ignorable Missing Data and Causal Inference Models” Proceedings of the 1999 Joint Statistical Meetings (to appear).
11. Robins, J. M., and Rotnitzky, A. (1992). “Recovery of Information and Adjustment for Dependent Censoring Using Surrogate Markers,” in AIDS Epidemiology-Methodological Issues, eds. N. Jewell, K. Dietl., and V, Farewell, Boston: Birkhauser. pp. 297-331.
12. Robins, J. M., and Wang, N. (1998), Discussion of the articles by Forster and Smith and Clayton ct al., Journal of the Royal Statistical Society, Ser. B, 60, 91-93.
13. Robins, J. M., and Wasscrman, L. (2000). “Conditioning. Likelihood, and Coherence: A Review of Some Foundational Concepts.” Journal of the American Statistical Association, (to appear).
14. Satten, G., and Datta, S. (2009), “Marginal Estimation for Multistage Models: Waiting Time Distributions and Competing Risks Analysis,” University of Georgia, Department of Statistics Tcch Report #STA 00-04.
15. Scharfstcin, D. O., Rotnitzky, A., and Robins, J. M. (1999), Rejoinder to Comments on “Adjusting for Nomgnorablc Dropout Using Semipara metric Nonresponse Models,” Journal of the American Statistical Association 94. 1135-1146.
16. van der Laan, M. (1996a). “Efficient Estimator of the Bivariate Survival Function and Repairing NPMLE.” The Annals of Statistics, 24. 596-627.
17. van der Laan, M. (1996b), “Efficient and Inefficient Estimation in Semiparametric Models,” CWL tract 114, Centre of Computer Science and Mathematics. Amsterdam.
18. van der Laan, M. J., Hubbard, A. E., and Robins, J. M. (1999). “Locally Efficient Estimation of a Multivariate Survival Function in Longitudinal Studies.” Journal of the American Statistician, (submitted).
19. van der Uan, M., Robins, J. M., and Gill, R. D. (2000), “Locally Efficient Estimation in Censored Data Models: Theory and Examples.” technical report. University of California. Berkeley, Dept, of Biostatistics.