المؤلفون: Rosales Cerquera, Luisa Fernanda, Iral Palomino, René, Mazo Lopera, Mauricio Alejandro, Salazar Uribe, Juan Carlos

المصدر: Revista de la Facultad de Ciencias; Vol. 10 No. 1 (2021): Revista de la Facultad de Ciencias; 6-19 ; Revista de la Facultad de Ciencias; Vol. 10 Núm. 1 (2021): Revista de la Facultad de Ciencias; 6-19 ; 2357-5549 ; 0121-747X

مصطلحات موضوعية: Estadística, función de intensidad, modelo de Markov, datos censurados, Statistics, Intensity function, Markov model, Censored data

وصف الملف: application/pdf

Relation: https://revistas.unal.edu.co/index.php/rfc/article/view/84237/77823; Abramowitz, M. & Stegun, I. A. (1972). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover Publications, Inc.; Andersen, P. K., Borgan, O., Gill, R. D. & Keiding, N. (1993). Statistical models based on counting processes. Springer - Verlag. New York.; Bhat, U. N. (1984). Elements of applied stochastic processes. 2nd ed. New York: John Wiley and sons.; Cox, D. R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society 32(Series B), 187-220.; Faddy, M. J. (1976). A note on the general time-dependent stochastic compartmental model. Biometrics 32, 443-448.; Frydman, H. (1992). A Nonparametric estimation procedure for a periodically observed three state Markov process, with application to AIDS. Journal of Royal Statistical Society 4(Series B), 853-866.; Hajihosseini, M., Kazemi, T. & Faradmal, J. (2016). Multistate models for survival analysis of cardiovascular disease process. Revista Española de Cardiología 69(7), 714-715.; Harezlak, J., Gao, S. & Hui, S. L. (2003). An illness-death stochastic model in the analysis of longitudinal dementia data. Statistics in Medicine 22, 1465-1475.; Hedeker, H., Siddiqui, O. & Hu, F. B. (2000). Random-effects regression analysis of correlated group-time survival data. Statistical Methods in Medical Research 9, 161-179.; Joly, P. and Commenges, D. (1999). A penalized likelihood approach for a progressive three-state model with censored and truncated data: Application to AIDS. Biometrics 55, 887-890.; Joly, P., Commenges, D. & Letenneur, L. (1998). A penalized likelihood approach for arbitrarily censored and truncated data: Application to age-specic incidence of dementia. Biometrics 55(1), 185-194.; Kay, R. (1986). A Markov model for analyzing cancer markers and disease states in survival studies. Biometrics 42, 855-865.; Kryscio, R. J., Schmit, F. A., Salazar, J., Mendiondo, M. S. & Markesbery, W. R. (2016). Risk factors for transitions from normal to mild cognitive impairment and dementia. Neurology 66, 828-832.; Van der Vaart, A.W. (2000). Asymptotic statistics. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, Cambridge.; Lee, E. T. (1992). Statistical methods for survival data analysis. 2nd Ed. John Wiley & Sons. New York.; Salazar, J. C., Palomino, R., Calvo, E., Rojas, A., Hincapié, M. E., Anaya, J. M. & Díaz, F. (2007). Three state Markov model: Comparing three parameterizations of the transition intensity rate. Application to rheumatoid arthritis data. Revista Colombiana de Estadística, 30(2), 213-229.; Salazar, J. C., Schmitt, F. A., Yu, L., Mendiondo, M. S. & Kryscio, R. J. (2005). Shared random effects analysis of multi-state Markov models: application to a longitudinal study of transitions to dementia. Statistics in Medicine 26(3), 568-580.; Salgado, K., Salazar-Uribe, J. C., Gallo-Villegas, J., Valencia, A., Española-Fernández, D., Mesa, C., de la Calle, J., Montoya, Y.& Aristizábal, D. (2018). Evaluación de la costo-efectividad de un modelo integral de tratamiento ambulatorio en pacientes con síndrome coronario agudo: aplicación de un modelo de Markov probabilístico. Pan American Journal of Public Health 42, 1-9.; SAS Institute Inc. Base SAS R 9.2 (2011). Procedures Guide. Cary, NC: SAS Institute Inc.; Tovar, R. & Salazar, J. C. (2009). A linear mixed model adapted to a markov chain with ordinal state space. Application to data about grade point average (GPA). Revista Colombiana de Estadística 32(2), 213-230.; Wei, S., Xu, L. & Kryscio, R. (2014). Markov transition model to dementia with death as a competing event. Computational Statistics and Data Analysis 80, 78-88.; Yeh H., Chan, W., Symanski, E. & Davis, B. (2010). Estimating transition probabilities for ignorable intermittent missing data in a discrete-time markov chain Communications in Statistics: Simulation and Computation 39(2), 433-448.; https://revistas.unal.edu.co/index.php/rfc/article/view/84237

الاتاحة: https://revistas.unal.edu.co/index.php/rfc/article/view/84237