Semiparametric regression analysis of longitudinal data with informative observation times

Journal of the American Statistical Association

Volumn 100, Issue 471, 2005, Pages 882-889

  Sun, Jianguo ^a   Park, Do Hwan ^b   Sun, Liuquan ^b   Zhao, Xingqiu ^c  

^a UNIVERSITY OF MISSOURI   (United States)

^b INSTITUTE OF APPLIED MATHEMATICS   (China)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Estimating equation; Informative observation times; Longitudinal data; Nonhomogeneous Poisson process

Indexed keywords

EID: 24644507209     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/016214505000000060     Document Type: Review

References (19)

1. Andersen, P. K., Borgan, O., Gill, R. D., and Keiding, N. (1993), Statistical Models Based on Counting Processes, New York: Springer-Verlag.
2. Chen, E. B., and Cook, R. J. (2003), "Regression Modeling With Recurrent Events and Time-Dependent Interval-Censored Marker Data," Lifetime Data Analysis, 9, 275-291.
3. Diggle, P. J., and Kenward, M. G. (1994), "Informative Dropout in Longitudinal Data Analysis" (with discussion), Applied Statistics, 43, 49-94.
4. Diggle, P. J., Liang, K. Y., and Zeger, S. L. (1994), The Analysis of Longitudinal Data, Oxford, U.K.: Oxford University Press.
5. Hogan, J. W., and Laird, N. M. (1997), "Model-Based Approaches to Analyzing Incomplete Longitudinal and Failure Time Data," Statistics in Medicine, 16, 259-272.
6. Hoover, D. R., Rice, J. A., Wu, C. O., and Yang, L. P. (1998), "Nonparametric Smoothing Estimates of Time-Varying Coefficient Models With Longitudinal Data," Biometrika, 85, 809-822.
7. Laird, N. M., and Ware, J. H. (1982), "Random-Effects Models for Longitudinal Data," Biometrics, 38, 963-974.
8. Lin, D. Y., Wei, L. J., Yang, I., and Ying, Z. (2000), "Semiparametric Regression for the Mean and Rate Functions of Recurrent Events," Journal of the Royal Statistical Society, Ser. B, 62, 711-730.
9. Lin, D. Y., and Ying, Z. (2001), "Semiparametric and Nonparametric Regression Analysis of Longitudinal Data," Journal of the American Statistical Association, 96, 103-126.
10. Little, R. J. A. (1995), "Modeling the Drop-Out Mechanism in Repeated-Measures Studies," Journal of the American Statistical Association, 90, 1112-1121.
11. Roy, J., and Lin, X. (2002), "Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates: Changes in Methadone Treatment Practices," Journal of the American Statistical Association, 97, 40-52.
12. Sun, J., and Wei, L. J. (2000), "Regression Analysis of Panel Count Data With Covariate-Dependent Observation and Censoring Times," Journal of Royal Statistical Society, Ser. B, 62, 293-302.
13. Wang, M. C., Qin, J., and Chiang, C. T. (2001), "Analyzing Recurrent Event Data With Informative Censoring," Journal of the American Statistical Association, 96, 1057-1065.
14. Wang, Y., and Taylor, M. G. (2001), "Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome," Journal of the American Statistical Association, 96, 895-905.
15. Welsh, A. H., Lin, X., and Carroll, R. J. (2002), "Marginal Longitudinal Non-parametric Regression: Locality and Efficiency of Spline and Kernel Methods," Journal of the American Statistical Association, 97, 482-493.
16. Wu, M. C., and Carroll, R. J. (1988), "Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process," Biometrics, 44, 175-188.
17. Wulfsohn, M. S., and Tsiatis, A. A. (1997), "A Joint Model for Survival and Longitudinal Data Measured With Error," Biometrics, 53, 330-339.
18. Zeger, S. L., and Diggle, P. J. (1994), "Semiparametric Models for Longitudinal Data With Application to CD4 Cell Numbers in HIV Seroconverters," Biometrics, 50, 689-699.
19. Zhang, Y. (2002), "A Semiparametric Pseudolikelihood Estimation Method for Panel Count Data," Biometrika, 89, 39-48.