tdc.msm: An R library for the analysis of multi-state survival data

Computer Methods and Programs in Biomedicine

Volumn 86, Issue 2, 2007, Pages 131-140

  Meira Machado, Luís ^a   Cadarso Suárez, Carmen ^b   de Uña Álvarez, Jacobo ^c  

^a UNIVERSITY OF MINHO   (Portugal)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^c UNIVERSITY OF VIGO   (Spain)

Author keywords

Markov process; Multi state model; Proportional hazards model; Time dependent covariate

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER PROGRAMMING; HIDDEN MARKOV MODELS; PATIENT TREATMENT; PROBABILITY; REGRESSION ANALYSIS;

GRAPHICAL OUTPUT; MULTI STATE MODELS; PROPORTIONAL HAZARDS MODELS; TIME DEPENDENT COVARIATES;

BIOMEDICAL ENGINEERING;

ARTICLE; COMPUTER PROGRAM; COVARIANCE; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PROBABILITY; PROPORTIONAL HAZARDS MODEL; SURVIVAL RATE;

DATABASES, FACTUAL; DISEASE PROGRESSION; HUMANS; LIBRARIES; MARKOV CHAINS; PROPORTIONAL HAZARDS MODELS; SOFTWARE; SPAIN; SURVIVAL ANALYSIS;

EID: 34047254740     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2007.01.010     Document Type: Article

References (23)

1. Klotz J.H., and Sharples L.D. Estimation for a Markov heart transplant model. Statistician 43 (1994) 431-436
2. Andersen P.K., Esbjerj S., and Sorensen T.I.A. Multistate models for bleeding episodes and mortality in liver cirrhosis. Stat. Med. 19 (2000) 587-599
3. Lin D.Y., Sun W., and Ying Z. Nonparametric estimation of the gap time distributions for serial events with censored data. Biometrika 86 (1999) 59-70
4. Kay R. A Markov model for analysing cancer markers and disease states in survival studies. Biometrics 42 (1986) 855-865
5. Yau C.L., and Huzurbazar A.V. Analysis of censored and incomplete survival data using flowgraph models. Stat. Med. 21 (2002) 3727-3743
6. Cox D.R., and Oakes D. Analysis of Survival Data (1984), Chapman and Hall
7. Kalbfleisch J.D., and Prentice R.L. The Statistical Analysis of Failure Time Data (1980), Wiley, New York
8. Andersen P.K., Borgan O., Gill R.D., and Keiding N. Statistical Models Based on Counting Processes (1993), Springer, New York
9. Hougaard P. Analysis of Multivariate Survival Data (2000), Springer, New York
10. Marshall G., and Jones R.H. MARKOV: a computer program for multi-state Markov models with covariables. Comput. Methods Progr. Biomed. 47 (1995) 147-156
11. Alioum A., and Commenges D. MKVPCI: A computer program for Markov models with piecewise constant intensities and covariates. Comput. Methods Progr. Biomed. 64 (2001) 109-119
12. Jackson C.H., and Sharples L.D. Hidden Markov models for the onset and progression of bronchiolitis obliterans syndrome in lung transplant recipients. Stat. Med. 21 (2002) 113-128
13. Therneau T.M., and Grambsch P.M. Modeling Survival Data: Extending the Cox Model (2000), Springer-Verlag, New York
14. Paes A.T., and Lima A.C. A SAS macro for estimating transition probabilities in semiparametric models for recurrent events. Comput. Methods Progr. Biomed. 75 (2004) 59-65
15. Dancourt V., Quantin C., Abrahamowicz M., Binquet C., Alioum A., and Faivre J. Modeling recurrence in colorectal cancer. J. Clin. Epidemiol. 57 (2004) 243-251
16. Hui-Min W., Ming-Fang Y., and Hsiu-Hsi C. SAS macro program for non-homogeneous Markov process in modeling multi-state disease progression. Comput. Methods Progr. Biomed. 75 (2004) 95-105
17. Wangler M., Beyersmann J., and Schumacher M. Changelos: an R-package for change in length of hospital stay based on the Aalen-Johansen estimator. R News 6 (2006) 31-35
18. Pérez-Ocón R., Ruiz-Castro J.E., and Gámiz-Pérez M.L. A piecewise Markov process for analysing survival from breast cancer in different risk groups. Stat. Med. 20 (2001) 109-122
19. Keiding N., Klein J.P., and Horowitz M. Multi-state models and outcome prediction in bone marrow transplantation. Stat. Med. 20 (2001) 1871-1885
20. Cox D.R. Regression models and life tables (with discussion). J. R. Stat. Soc. Ser. B 34 (1972) 187-220
21. Eilers P.H.C., and Marx B.D. Flexible smoothing with B-splines and penalities. Stat. Sci. 11 (1996) 89-121
22. Crowley J., and Hu M. Covariance Analysis of Heart Transplant Survival Data. J. Am. Stat. Assoc. 72 (1977) 27-36
23. Anderson G.L., and Fleming T.R. Model misspecification in proportional hazards regression. Biometrika 82 (1995) 527-541