Dynamic prediction, competing risk.
2025
Bayesian multivariate joint model with competing risk terminal events
[ GitHub: R codes and tutorial ]
Reference(s):
Qian Q, Nguyen DV, Kurum E, Banerjee S, Rhee CM, Senturk D (2025) Bayesian multivariate joint modeling of longitudinal, recurrent, and competing risk terminal events in patients with chronic kidney disease.
Estimated hospitalziation and mortality probability at 6 and 12 months.
2024
Spatiotemporal multilevel joint modeling of generalized longitudinal and survival outcomes
[ GitHub: R codes and tutorial ]
Reference(s):
Kurum E, Nguyen DV, Qian Q, Banerjee S, Rhee CM, Senturk D (2024) Spatiotemporal multilevel joint modeling of generalized longitudinal and survival outcomes in end-stage kidney disease. Lifetime Data Analysis, 30(4):827-852. PubMed
Trivariate outcomes
2024
Bayesian trivariate joint model for longitudinal, recurrent, and terminal outcomes
[ GitHub: R codes and tutorial ]
Reference(s):
Kurum E, Kwan B, Qian Q, Banerjee S, Rhee CM, Nguyen DV, Senturk D (2024). A Bayesian joint model of longitudinal kidney disease progression, recurrent cardiovascular events, and terminal event in patients with chronic kidney disease. Statistics in Biosciences. https://doi.org/10.1007/s12561-024-09429-6
Estimated multivariate eigenfunctions for hospitalization
2024
Multivariate varying coefficient spatiotemporal model
[ GitHub: R codes and tutorial ]
Reference(s):
Qian Q, Nguyen DV, Kurum E, Rhee CM, Banerjee S, Li Y, Senturk D (2024) Multivariate varying coefficient spatiotemporal model. Statistics in Biosciences, 16: 761-786. https://doi.org/10.1007/s12561-024-09419-8
Median predicted joint hospitalization and mortality rates per person-year (PPY)
2024
Multivariate spatiotemporal functional principal component analysis
[ GitHub: R codes and tutorial ]
Reference(s):
Qian Q, Nguyen DV, Telesca D, Kurum E, Rhee CM, Banerjee S, Li Y, Senturk D (2024) Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in dialysis patients. Biostatistics, 25(3):718-735. PubMed
Hospitalization trajectories for 2 dialysis facilities
2022
Multilevel varying coefficient spatiotemporal model
[ GitHub: R codes and tutorial ]
Reference(s):
Li Y, Nguyen DV, Kurum E, Rhee CM, Banerjee S, Senturk D (2022) Multilevel varying coefficient spatiotemporal model. Stat, 11(1):e438. PubMed
Hospitalization risk score on survival (HR(t): hazard ratio over time, t)
2022
Bayesian multilevel time-varying joint model
[ GitHub: R codes and tutorial ]
Reference(s):
Kurum E, Nguyen DV, Banerjee S, Li Y, Rhee CM, Senturk D (2022) A Bayesian multilevel time-varying framework for joint modeling of hospitalization and survival in patients on dialysis. Statistics in Medicine, 41(29): 5597-5611. PubMed
Predicted hospitalization rates across the U.S. at 1 (top) and 12 (bottom) months after transition to dialysis
2021
Multilevel spatiotemporal model of hospitalization patterns
[ GitHub: R codes and tutorial ]
Reference(s):
Li Y, Nguyen DV, Banerjee S, Rhee CM, Kalantar-Zadeh K, Kurum E, Senturk D (2021) Multilevel modeling of spatially nested functional data: Spatiotemporal patterns of hospitalization rates in the US dialysis population. Statistics in Medicine, 40(17):3937-3952. PMID: 33902165 PubMed
Sensitivty and false positive rates for flagging over-performing providers (B: better providers)
2021
Fixed effects high-dimensional profiling models for sparse data
[ R codes & data ] [ Model fitting tutorial ]
Reference(s):
Estes JP, Senturk D, Kurum E, Rhee CM, Nguyen DV (2021) Fixed effects high-dimensional profiling models in low information context. International Journal of Statistics in Medical Research, 10, 118-131.
Distribution of hospitalization risk score (m) and estimated survival probabilities
2021
Multilevel joint models of hospitalization and survival
[ GitHub: R codes ] [ Model fitting instructions ]
Reference(s):
Kurum E, Nguyen DV, Li Y, Rhee CM, Kalantar-Zadeh K, Senturk D (2021) Multilevel joint models of hospitalization and survival in patients on dialysis, Stat, 10:e356 (p1-13).
Standardized event rate (SER) for facilities wit high/worse recurrent (anemic) events
2020
Profiling model for adverse recurrent events
Reference(s):
Estes JP, Chen Y, Senturk D, Rhee CM, Kurum E, You AS, Streja E, Kalantar-Zadeh K, Nguyen DV (2020) Profiling dialysis facilities for adverse recurrent events. Statistics in Medicine, 39:9, 1374-1389. PMCID: PMC7125020
Hospitalization risk over time (t) for "healthy," "moderate," and "severe" health condition at transition to dialysis
2020
Multilevel mixed effects varying coefficient model with multilevel predictors and random effects
[ GitHub: R codes and tutorial ]
Reference(s):
Li Y, Nguyen DV, Kurum E, Rhee CM, Chen Y, Kalantar-Zadeh K, Senturk D (2019) A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis. Biometrics, 76(3), 924-938. PMCID: PMC7303000
Effect of nurse-to-patient ratio on risk of hospitalization over time (t)
2018
Modeling time-varying effects of multilevel risk factors of hospitalizations
[ GitHub: R codes and tutorial ]
Reference(s): Li Y, Nguyen DV, Chen Y, Rhee CM, Kalantar-Zedeh, Senturk D (2018) Modeling time-varying effects of multilevel risk factors of hospitalizations in patients on dialysis. Statistics in Medicine, 30;37(30):4707-4720. PMCID: PMC6296494
Sensitivity to detect underpeforming (worse) providers
2018
Performance characteristics of profiling methods
Reference(s):
Senturk D, Chen Y, Estes JP, Campos LF, Rhee CM, Kalantar-Zadeh K, Nguyen DV (2020) Impact of case-mix measurement error on estimation and inference in profiling of health care providers. Communications in Statistics – Simulation and Computation, 49:8, 2206-2224.
Chen Y, Senturk D, Estes JP, Campos LF, Rhee CM, Dalrymple LS, Kalantar-Zadeh K, Nguyen DV (2021) Performance characteristics of profiling methods and the impact of inadequate case-mix adjustment. Communications in Statistics – Simulation and Computation, 50, 1854-1871.
Probability of cardiovascular event before and after infection-related hospitalization over time (t year)
2014
Generalized multiple-index varying coefficient model of cardiovascular event risk
[ R codes] [ Alternate Link ]
Reference(s):
Estes J, Nguyen DV, Dalrymple DS, Mu Y, Senturk D (2014) Cardiovascular event risk dynamics over time in older patients on dialysis: A generalized multiple-index varying coefficient model approach. Biometrics, 70, 754–764. PMCID: PMC4209204
2014
Weighted hurdle regression method for joint modeling of cardiovascular events likelihood and rate
[ R codes ]
Reference(s):
Senturk D, Dalrymple DS, Mu Y, Nguyen DV (2014) Weighted hurdle regression method for joint modeling of cardiovascular events likelihood and rate in the U.S. dialysis population. Statistics in Medicine, 33(25):4387-4401. PMCID: PMC4184989