A general framework for longitudinal data through marked point processes

Biometrical Journal

Volumn 39, Issue 1, 1997, Pages 57-67

  Scheike, Thomas H ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Conditional least squares; Longitudinal data; Marked point process; Parametric inference; Regression models; Repeated measure; Weighted least squares

Indexed keywords

PARAMETER ESTIMATION;

CONDITIONAL LEAST SQUARE; LEAST SQUARE; LONGITUDINAL DATA; MARKED POINT PROCESS; MEASUREMENT TIME; PARAMETRIC ANALYSIS; PARAMETRIC INFERENCE; REGRESSION MODELLING; REPEATED MEASURES; WEIGHTED LEAST-SQUARES;

REGRESSION ANALYSIS;

EID: 0031535589     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/bimj.4710390107     Document Type: Article

References (12)

1. AALEN, O. O., 1975: Statistical Inference for a Family of Counting Processes. PhD thesis, Department of statistics, University of California at Berkeley.
2. AALEN, O. O., 1978: Nonparametric inference for a family of counting processes. Annals of Statistics 6, 534-545.
3. AASTED-FRANDSEN, V., 1963: The excretion of oestriol in normal human pregnancy. University of Copenhagen. Published as the author's dissertation for the Danish Doctor Degree in Medicine.
4. ANDERSEN, P. K., BORGAN, Ø., GILL, R., and KEIDING, N., 1993: Statistics Models Based on Counting Processes. Springer-Verlag New York.
5. BRÉMAUD, P., 1981: Point Processes and Queues, Martingale Dynamics. Springer-Verlag New York.
6. DAVIES, C., 1991: Semi-parametric and non-parametric methods for the analysis of repeated measurements with applications to clinical trials. Statistics in Medicine 10, 1959-1980.
7. FUSARO, R. E., NIELSEN, J. P., and SCHEIKE, T. H., 1993: Marker-dependent hazard estimation: An application to aids. Statistics in Medicine 12, 843-865.
8. LIANG, K. Y. and ZEGER, S. L., 1986: Longitudinal data analysis using generalized linear models. Biometrika 73, 13-22.
9. MURPHY, S., 1995: A central limit theorem for local martingales with applications to the analysis of longitudinal data. Scandinavian Journal of Statistics 22, 279-294.
10. SCHEIKE, T. H., 1993: Statistical Analysis of Tessellations and Nonparametric Kernel Regression with Biological Applications. PhD thesis, Department of Statistics, University of California at Berkeley.
11. SCHEIKE, T. H., 1994: Parametric regression for longitudinal data with counting process measurement times. Scandinavian Journal of Statistics 21, 245-263.
12. SCHEIKE, T. H., 1996: Nonparametric kernel regression when the regressor follows a counting process. Journal of Nonparametric Statistics 6, 337-353.