Ir al contenido

Documat


Cumulative processes relates to event histories

  • Autores: J.F. Lawles, K. Lee, R.J. Cook
  • Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 27, Nº. 1, 2003, págs. 13-30
  • Idioma: inglés
  • Títulos paralelos:
    • Procesos acumulativos relacionados con historias de sucesos
  • Enlaces
  • Resumen
    • Costs or benefits which accumulate for individuals over time are of interest in many life history processes. Familiar examples include costs of health care for persons with chronic medical conditions, the payments to insured persons during periods of disability, and quality of life which is sometimes used in the evaluation of treatments in terminally ill patients. For convenience, here we use the term costs to refer to cost or other cumulative measures. Two important scenarios are (i) where costs are associated with the occurrence of certain events, so that total cost accumulates as a step function and, (ii) where individuals may move between various states over time, with cost accumulating at a constant rate determined by the state occupied. In both cases, there is frequently a random variable T that represents the duration of the process generating the costs. Here we consider estimation of the mean cumulative cost over a period of interest using methods based upon marginal features of the cost process and intensity based models. Robustness to adaptive censoring is discussed in the context of the multi-state methods. Data from a quality of life study of breast cancer patients are used to illustrate the methods.

  • Referencias bibliográficas
    • Aalen, O., Borgan, O., and Fekjaer, H. (2001). Covariate adjustment of event histories estimated from Markov chains: the additive approach....
    • Andersen, P.K., Borgan, O., Gill, R.D. and Keiding, N. (1993). Statistical Models Based on Counting Processes. Springer-Verlag: New York.
    • Bang, H. and Tsiatis, A.A. (2000). Estimating medical costs with censored data. Biometrika, 87, 329-343.
    • Cook, R.J. and Lawless, J.F. (1997). Marginal analysis of recurrent events and a terminating event. Statistics in Medicine, 16, 911-924.
    • Couper, D. and Pepe, M.S. (1997). Modelling prevalence of a condition: chronic graft-versus-host disease after bone marrow transplantation....
    • Datta, S. and Satten, G.A. (2001). Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators...
    • Datta, S. and Satten, G.A. (2002). Estimation of integrated transition hazards and stage occupation probabilities for non-Markov systems under...
    • Gelber, R.D., Cole, B.F., Gelber, S. and Goldhirsch, A. (1995). Comparing treatments using qualityadjusted survival: the Q-TWIST method. Amer....
    • Ghosh, D. and Lin, D.Y. (2000). Nonparametric analysis of recurrent events and death. Biometrics, 56, 554-562.
    • Glasziou, P.P., Simes, R.J. and Gelber, R.D. (1990). Quality adjusted survival analysis. Statistics in Medicine, 9, 1259-1276.
    • Glidden, D.V. (2002). Robust inference for event probabilities with non-Markov event data. Biometrics, 58, 361-368.
    • Kalbfleisch, J.D. and Prentice, R.L. (2002). The Statistical Analysis of Failure Time Data, 2nd edition. John Wiley and Sons: New York.
    • Lin, D.Y., Feuer, E.J., Etzioni, R. and Wax, Y. (1997). Estimating medical costs from incomplete followup data. Biometrics, 53, 419-434.
    • Pepe, M.S. (1991). Inference for events with dependent risks in multiple endpoint studies. Journal of the American Statistical Association,...
    • Pepe, M.S. and Cai, J. (1993). Some graphical displays and marginal regression analyses for recurrent failure times and time dependent covariates....
    • Pepe, M.S., Longton, G. and Thornquist, M. (1991). A qualifier Q for the survival function to describe the prevalence of a transient condition....
    • Prestgaard, J. (1991). Nonparametric estimation of actuarial values. Scandanavian Journal of Statistics, 2, 129-143.
    • Robins, J.M. (1993). Information recovery and bias adjustment in proportional hazards regression analysis of randomized trials using surrogate...
    • Robins, J.M. and Rotnitzky, A. (1995). Semiparametric regression estimation in the presence of dependent censoring. Biometrika, 82, 805-20.
    • Satten, G.A., Datta, S. and Robins, J. (2001). Estimating the marginal survival function in the presence of time dependent covariates. Statistics...
    • Strawderman, R. (2000). Estimating the mean of an increasing stochastic process at a censored stopping time. Journal of the American Statistical...
    • The Ludwig Breast Cancer Study Group (1988). Combination adjuvant chemotherapy for node-positive breast cancer: inadequacy of a single perioperative...
    • Torrance, G., Walker, V., Grossman, R., Mukherjee, J., Vaughan, S., LaForge, J. and Lampron, N. (1999). Economic evaluation of Ciprofloxacin...
    • Zhao, H. and Tsiatis, A.A. (1997). A consistent estimator for the distribution of quality-adjusted survival time. Biometrika, 84, 339-348.
    • Zhao, H. and Tsiatis, A.A. (1999). Efficient estimation of the distribution of quality adjusted survival time. Biometrics, 55, 231-236.

Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno