Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data
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Michael R Kosorok | Leili Tapak | Omid Hamidi | Majid Sadeghifar | M. Kosorok | M. Sadeghifar | O. Hamidi | Leili Tapak
[1] Hemant Ishwaran,et al. Identifying Important Risk Factors for Survival in Patient With Systolic Heart Failure Using Random Survival Forests , 2011, Circulation. Cardiovascular quality and outcomes.
[2] Anneke Grobler,et al. Integration of antiretroviral therapy with tuberculosis treatment. , 2011, The New England journal of medicine.
[3] Udaya B. Kogalur,et al. Consistency of Random Survival Forests. , 2008, Statistics & probability letters.
[4] M. Mohraz,et al. Predictors of tuberculosis and human immunodeficiency virus co-infection: a case-control study , 2014, Epidemiology and health.
[5] David R. Cox,et al. Regression models and life tables (with discussion , 1972 .
[6] R. Bajpai,et al. Demographic Correlates of Survival in Adult HIV Patients Registered at ART Centers in Andhra Pradesh, India: A Retrospective Cohort Study , 2014 .
[7] F. Harrell,et al. Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors , 2005 .
[8] S. Cole,et al. Effect of tuberculosis on the survival of HIV-infected men in a country with low tuberculosis incidence , 2008, AIDS.
[9] O Borgan,et al. Covariate Adjustment of Event Histories Estimated from Markov Chains: The Additive Approach , 2001, Biometrics.
[10] David R. Cox,et al. The Theory of Stochastic Processes , 1967, The Mathematical Gazette.
[11] Torsten Hothorn,et al. Bagging survival trees , 2002, Statistics in medicine.
[12] J. Kingman. THE THEORY OF STOCHASTIC PROCESSES 2 , 1976 .
[13] Hemant Ishwaran,et al. Random survival forests for competing risks. , 2014, Biostatistics.
[14] Jalal Poorolajal,et al. Survival rate of AIDS disease and mortality in HIV-infected patients in Hamadan, Iran: a registry-based retrospective cohort study (1997–2011) , 2013, International journal of STD & AIDS.
[15] Jalal Poorolajal,et al. A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran , 2014, Theoretical and Applied Climatology.
[16] S. Vong,et al. Earlier versus later start of antiretroviral therapy in HIV-infected adults with tuberculosis. , 2011, The New England journal of medicine.
[17] V.B.L.S. Lammens. Estimating the prediction error in multistate models , 2014 .
[18] R H Jones,et al. Multi-state models and diabetic retinopathy. , 1995, Statistics in medicine.
[19] Maryam FARHADIAN,et al. Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests , 2016, Iranian journal of public health.
[20] Juan Eloy Ruiz-Castro,et al. Non‐homogeneous Markov models in the analysis of survival after breast cancer , 2001 .
[21] J. Kalbfleisch,et al. The Analysis of Panel Data under a Markov Assumption , 1985 .
[22] Michael R Kosorok,et al. Recursively Imputed Survival Trees , 2012, Journal of the American Statistical Association.
[23] B. Gazzard,et al. CD4 Cell Count and the Risk of AIDS or Death in HIV-Infected Adults on Combination Antiretroviral Therapy with a Suppressed Viral Load: A Longitudinal Cohort Study from COHERE , 2012, PLoS medicine.
[24] S Esbjerg,et al. Multi-state models for bleeding episodes and mortality in liver cirrhosis. , 2000, Statistics in medicine.
[25] Gerhard Tutz,et al. A survival tree method for the analysis of discrete event times in clinical and epidemiological studies , 2016, Statistics in medicine.
[26] Carmen Cadarso-Suárez,et al. Multi-state models for the analysis of time-to-event data , 2009, Statistical methods in medical research.
[27] H Putter,et al. Tutorial in biostatistics: competing risks and multi‐state models , 2007, Statistics in medicine.
[28] P. Andersen,et al. Multistate models in survival analysis: a study of nephropathy and mortality in diabetes. , 1988, Statistics in medicine.
[29] Hemant Ishwaran,et al. Random Survival Forests , 2008, Wiley StatsRef: Statistics Reference Online.
[30] E. Waldman,et al. Predictors of progression to AIDS after HIV infection diagnosis in the pre- and post-HAART eras in a Brazilian AIDS-free cohort. , 2014, Transactions of the Royal Society of Tropical Medicine and Hygiene.
[31] Niels Keiding,et al. Non- and semi-parametric estimation of transition probabilities from censored observation of a non-homogeneous Markov process , 1991 .
[32] J. McNeil,et al. HIV treatment outcomes among people who inject drugs in Victoria, Australia , 2014, BMC Infectious Diseases.
[33] C. Begg,et al. A study of the use of the probability-of-being-in-response function as a summary of tumor response data. , 1982, Biometrics.
[34] Hein Putter,et al. mstate: An R Package for the Analysis of Competing Risks and Multi-State Models , 2011 .
[35] Ren Johansen. An Empirical Transition Matrix for Non-homogeneous Markov Chains Based on Censored Observations , 1978 .
[36] S. Lawn,et al. Antiretroviral Therapy for Control of the HIV-associated Tuberculosis Epidemic in Resource-Limited Settings , 2009, Clinics in chest medicine.
[37] P. Bühlmann,et al. Survival ensembles. , 2006, Biostatistics.
[38] N. Keiding,et al. Multi-state models for event history analysis , 2002, Statistical methods in medical research.
[39] Sabine Van Huffel,et al. Survival SVM: a practical scalable algorithm , 2008, ESANN.
[40] John P. Klein,et al. Additive hazards Markov regression models illustrated with bone marrow transplant data , 2005 .
[41] John P. Klein,et al. Identification by random forest method of HLA class I amino acid substitutions associated with lower survival at day 100 in unrelated donor hematopoietic cell transplantation , 2011, Bone Marrow Transplantation.
[42] Stefan Dietrich,et al. Investigation of the machine learning method Random Survival Forest as an exploratory analysis tool for the identification of variables associated with disease risks in complex survival data , 2016 .
[43] Daniel Commenges,et al. MKVPCI: a computer program for Markov models with piecewise constant intensities and covariates , 2001, Comput. Methods Programs Biomed..
[44] P. G. Choe,et al. Incidence and Risk Factors of Tuberculosis in Patients with Human Immunodeficiency Virus Infection , 2013, Journal of Korean medical science.
[45] Martin Schumacher,et al. Competing Risks and Multistate Models with R , 2011 .
[46] Martin Schumacher,et al. Multi-state model for studying an intermediate event using time-dependent covariates: application to breast cancer , 2013, BMC Medical Research Methodology.
[47] J. Klein,et al. MODELING MULTISTATE SURVIVAL ILLUSTRATED IN BONE MARROW TRANSPLANTATION , 2007 .
[48] J P Klein,et al. Plotting summary predictions in multistate survival models: probabilities of relapse and death in remission for bone marrow transplantation patients. , 1993, Statistics in medicine.