TPmsm (version 1.2.0)

TPmsm-package: Estimation of Transition Probabilities in Multistate Models

Description

The TPmsm software contains functions that compute estimates for the transition probabilities in the illness-death model and or the three-state progressive model. This package implements seven different estimators. Being five of them non-parametric and two of them semi-parametric (PAJ and KMPW). The implemented estimators are the Aalen-Johansen estimator (AJ), Presmoothed Aalen-Johansen estimator (PAJ), Kaplan-Meier Weighted estimator (KMW), Presmoothed Kalpan-Meier Weighted estimator (KMPW), Inverse Probability of Censoring estimator (IPCW), Lin estimator (LIN) and Location-Scale estimator (LS). The Inverse Probability of Censoring (IPCW) and Lin (LIN) estimators also permit to compute transition probabilities conditioned on a single covariate. Bootstrap confidence bands can be computed for each of the mentioned estimators. Several graphical plots of the transition probabilities with or without confidence bands can be drawn. To aid in the study of the statistical properties of the implemented estimators, functions to generate pseudo-random data for some well-known multivariate distributions were implemented.

encoding

UTF-8

Details

ll{ Package: TPmsm Type: Package Version: 1.2.0 Date: 2014-12-02 License: GPL (>= 2) LazyLoad: yes LazyData: yes }

References

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Allignol A., Schumacher M., Beyersmann J. (2011) Empirical Transition Matrix of Multi-State Models: The etm Package. Journal of Statistical Software 38(4), 1--15.

Amorim A. P., de Uña-Álvarez J., Meira Machado L. F. (2011) Presmoothing the transition probabilities in the illness-death model. Statistics and Probability Letters 81, 797--806.

Davison, A. C., Hinkley, D. V. (1997) Bootstrap Methods and their Application Chapter 5, Cambridge University Press.

Devroye L. (1986) Non-Uniform Random Variate Generation New-York: Springer-Verlag.

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Meira Machado L. F., de Uña-Álvarez J., Cadarso-Suárez C. (2006) Nonparametric estimation of transition probabilities in a non-Markov illness-death model. Lifetime Data Anal 12(3), 325--344.

Meira-Machado L., de Uña-Álvarez J., Datta S. Conditional Transition Probabilities in a non-Markov Illness-death Model. Discussion Papers in Statistics and Operations Research n 11/03, 2011. Department of Statistics and Operations Research, University of Vigo (ISSN: 1888-5756, Deposito Legal VG 1402 - 2007). This file can be downloaded from: http://webs.uvigo.es/depc05/reports/12_05.pdf

Meira-Machado L., Roca-Pardi��as J. (2011) p3state.msm: Analyzing Survival Data from an Illness-Death Model. Journal of Statistical Software 38(3), 1--18.

Meira-Machado L., Roca-Pardiñas J., Van Keilegom I., Cadarso-Suárez C. (2013) Bandwidth Selection for the Estimation of Transition Probabilities in the Location-Scale Progressive Three-State Model. Computational Statistics 28(5), 2185--2210.

Meira-Machado L., Roca-Pardiñas J., Van Keilegom I. Cadarso-Suárez C. Estimation of transition probabilities in a non-Markov model with successive survival times. Discussion paper 2010. This file can be downloaded from: http://sites.uclouvain.be/IAP-Stat-Phase-V-VI/ISBApub/dp2010/DP1053.pdf

Moreira A., de Uña-Álvarez J., Meira-Machado L. Presmoothing the Aalen-Johansen estimator of transition probabilities. Discussion Papers in Statistics and Operation Research n 11/03, 2011. Department of Statistics and Operations Research, University of Vigo (ISSN: 1888-5756, Deposito Legal VG 1402 - 2007). This file can be downloaded from: http://webs.uvigo.es/depc05/reports/11_03.pdf

Van Keilegom I., de Uña-Álvarez J., Meira-Machado L. (2011) Nonparametric location-scale models for successive survival times under dependent censoring. Journal of Statistical Planning and Inference 141(3), 1118--1131.