TP.idm-package | R Documentation |
Estimation of transition probabilities for the illness-death model. Both the Aalen-Johansen estimator for a Markov model and a novel non-Markovian estimator by de Uña-Álvarez and Meira-Machado (2015) <doi:10.1111/biom.12288>, see also Balboa and de Uña-Álvarez (2018) <doi:10.18637/jss.v083.i10>, are included.
The DESCRIPTION file:
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This package incorporates the function TPidm
which can be used to compute a nonparametric transition probability matrix for the illness-death model. For a complete list of functions use library(help=TP.idm)
.
Vanesa Balboa-Barreiro, Jacobo de Una-Alvarez <jacobo@uvigo.es> and Luis Meira-Machado <lmachado@math.uminho.pt>
Maintainer: Vanesa Balboa-Barreiro <vanesa.balboa@uvigo.es>
Andersen P. K., Borgan O., Gill R. D. and Keiding N. (1993). Statistical models based on counting processes. Springer Series in Statistics. New York, NY: Springer.
Datta S. and Satten G. A. (2001). Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators of integrated transition hazards for non-Markov models. Statistics and Probability Letters 55(4), 403–411.
de Uña-Álvarez J. and Meira-Machado L. (2015). Nonparametric estimation of transition probabilities in a non-Markov illness-death model: a comparative study. Biometrics 71, 364–375.
Meira-Machado L. F., de Uña-Álvarez J. and Cadarso-Suárez C. (2006). Nonparametric estimation of transition probabilities in a non-Markov illness-death model. Lifetime Data Annal 12(3), 325–344.
Balboa-Barreiro V., de Uña-Álvarez J. (2018). Estimation of Transition Probabilities for the Illness-Death Model: Package TP.idm
. Journal of Statistical Software 83(10), 1–19.
data(colonTP)
# create a TPidm object with s = 0, t = "last" (default),
# CI = TRUE (default) and method = "AJ":
aj0ci <- TPidm(colonTP, s = 0, method = "AJ")
summary(aj0ci) # summarizing the results
plot(aj0ci) # plotting all occupation probabilities
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