On estimating the relationship between longitudinal measurements and time-to-event data using a simple two-stage procedure

Biometrics

Volumn 66, Issue 3, 2010, Pages 983-987

  Albert, Paul S ^a   Shih, Joanna H ^b  

^a EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Informative dropout; Joint model; Regression calibration; Two stage models

Indexed keywords

CONTINUOUS TIME SYSTEMS; RANDOM PROCESSES; REGRESSION ANALYSIS;

COMPLEX PATTERN; INFORMATIVE DROPOUT; JOINT MODELS; MIXED MODELING; REGRESSION CALIBRATION; SEMIPARAMETRIC; SIMPLE++; TIME TO EVENTS; TWO STAGE MODEL; TWO STAGE PROCEDURE;

CALIBRATION;

BIOMARKER; CALIBRATION; COVARIANCE ANALYSIS; DATA SET; ERROR ANALYSIS; REGRESSION ANALYSIS; SOFTWARE;

EID: 77956792984     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01324_1.x     Document Type: Article

References (11)

1. Carroll, R. J., Spiegelman, C. H., Lan, K. K. G., Bailey, K. T., and Abbott, R. D. (1984). On errors-in-variables for binary regression models. Biometrika 71, 19 25.
2. Efron, B. and Tibshirani, R. J. (1993). An Introduction to the Boostrap. New York : Chapman and Hall.
3. Hsieh, F., Tseng, Y. K., and Wang, J. L. (2006). Joint modeling of survival and longitudinal data: Likelihood approach revisited. Biometrics 62, 1037 1043.
4. Laird, N. M. and Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics 38, 963 974.
5. Song, X., Davidian, M., and Tsiatis A. A. (2002). A semiparametric likelihood approach for joint modeling of longitudinal data and time-to-event data. Biometrics 58, 742 753.
6. Tsiatis, A. A. and Davidian, M. (2004). Joint modeling of longitudinal and time-to-event data: An overview. Statistica Sinica 14, 809 834. (Pubitemid 39499214)
7. Verbeke, G. and Molenberghs, G. (2000). Linear Mixed Models for Longitudinal Data. New York : Springer Verlag.
8. Wu, M. C. and Bailey, K. R. (1989). Estimation and comparison of changes in the presence of informative right censoring: Conditional linear model. Biometrics 45, 939 955.
9. Wu, M. C. and Follmann, D. A. (1999). Use of summary measurements to adjust for informative missingness repeated measures data with random effects. Biometrics 55, 75 84.
10. Zhang, D., Lin, X., Raz, J., and Sowers, M. (1998). Semiparametric stochastic mixed models for longitudinal data. Journal of the American Statistical Association 93, 710 719.
11. Ye, W., Lin, X., and Taylor, J. M. G. (2008). Semiparametric modeling of longitudinal measurements and time-to-event data: A two stage regression calibration approach. Biometrics 64, 1238 1246.