A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes
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Title
A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes
Authors
Keywords
Joint modeling, Time-to-event data, Repeated measurements, Serum creatinine, Graft failure, Kidney transplantation
Journal
EUROPEAN JOURNAL OF EPIDEMIOLOGY
Volume 31, Issue 5, Pages 469-479
Publisher
Springer Nature
Online
2016-02-01
DOI
10.1007/s10654-016-0121-2
References
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Related references
Note: Only part of the references are listed.- Joint modelling of repeated measurement and time-to-event data: an introductory tutorial
- (2015) Özgür Asar et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Each additional hour of cold ischemia time significantly increases the risk of graft failure and mortality following renal transplantation
- (2015) Agnes Debout et al. KIDNEY INTERNATIONAL
- Bayesian Analysis of Glomerular Filtration Rate Trajectories in Kidney Transplant Recipients
- (2015) Charles J. Ferro et al. TRANSPLANTATION
- JM: AnRPackage for the Joint Modelling of Longitudinal and Time-to-Event Data
- (2015) Dimitris Rizopoulos Journal of Statistical Software
- Analysis of risk factors associated with renal function trajectory over time: a comparison of different statistical approaches
- (2014) Karen Leffondre et al. NEPHROLOGY DIALYSIS TRANSPLANTATION
- Tools & Techniques - Statistics: Dealing with time-varying covariates in survival analysis – joint models versus Cox models
- (2014) Dimitris Rizopoulos et al. EuroIntervention
- Rate of Renal Graft Function Decline After One Year Is a Strong Predictor of All-Cause Mortality
- (2013) O. Moranne et al. AMERICAN JOURNAL OF TRANSPLANTATION
- A New Equation to Estimate Glomerular Filtration Rate
- (2013) Andrew S. Levey et al. ANNALS OF INTERNAL MEDICINE
- Clinical and histological predictors of long-term kidney graft survival
- (2013) Pierre Galichon et al. NEPHROLOGY DIALYSIS TRANSPLANTATION
- Impact of longitudinal exposure to mycophenolic acid on acute rejection in renal-transplant recipients using a joint modeling approach
- (2013) Z. Daher Abdi et al. PHARMACOLOGICAL RESEARCH
- An Introduction to Mixed Models and Joint Modeling: Analysis of Valve Function Over Time
- (2012) Eleni-Rosalina Andrinopoulou et al. ANNALS OF THORACIC SURGERY
- A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event
- (2011) Dimitris Rizopoulos et al. STATISTICS IN MEDICINE
- A Simple Tool to Predict Outcomes After Kidney Transplant
- (2010) Bertram L. Kasiske et al. AMERICAN JOURNAL OF KIDNEY DISEASES
- A clinical scoring system highly predictive of long-term kidney graft survival
- (2010) Yohann Foucher et al. KIDNEY INTERNATIONAL
- Estimating Glomerular Filtration Rate in Kidney Transplantation: Is the New Chronic Kidney Disease Epidemiology Collaboration Equation Any Better?
- (2009) C. A. White et al. CLINICAL CHEMISTRY
- MDRD-Estimated GFR at One Year Post-Renal Transplant Is a Predictor of Long-Term Graft Function
- (2008) C.R. Lenihan et al. RENAL FAILURE
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