Bayesian joint modelling of longitudinal and time to event data: a methodological review
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Bayesian joint modelling of longitudinal and time to event data: a methodological review
Authors
Keywords
-
Journal
BMC Medical Research Methodology
Volume 20, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-04-26
DOI
10.1186/s12874-020-00976-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quantile regression-based Bayesian joint modeling analysis of longitudinal–survival data, with application to an AIDS cohort study
- (2019) Hanze Zhang et al. LIFETIME DATA ANALYSIS
- Bayesian quantile regression joint models: Inference and dynamic predictions
- (2018) Ming Yang et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Joint modeling of multivariate longitudinal data and survival data in several observational studies of Huntington’s disease
- (2018) Jeffrey D. Long et al. BMC Medical Research Methodology
- Bayesian functional joint models for multivariate longitudinal and time-to-event data
- (2018) Kan Li et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Joint modeling of multiple repeated measures and survival data using multidimensional latent trait linear mixed model
- (2018) Jue Wang et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Joint longitudinal and time-to-event models for multilevel hierarchical data
- (2018) Samuel L Brilleman et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Nonlinear association structures in flexible Bayesian additive joint models
- (2018) Meike Köhler et al. STATISTICS IN MEDICINE
- Partially linear mixed-effects joint models for skewed and missing longitudinal competing risks outcomes
- (2017) Tao Lu et al. Journal of Biopharmaceutical Statistics
- Simultaneous inference for semiparametric mixed-effects joint models with skew distribution and covariate measurement error for longitudinal competing risks data analysis
- (2017) Tao Lu Journal of Biopharmaceutical Statistics
- Joint bent-cable Tobit models for longitudinal and time-to-event data
- (2017) Getachew A. Dagne Journal of Biopharmaceutical Statistics
- Tutorial in Joint Modeling and Prediction: A Statistical Software for Correlated Longitudinal Outcomes, Recurrent Events and a Terminal Event
- (2017) Agnieszka Król et al. Journal of Statistical Software
- Joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis, linked by latent class membership: with application to AIDS clinical studies
- (2017) Yangxin Huang et al. LIFETIME DATA ANALYSIS
- Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals
- (2017) Chris B. Guure et al. PLoS One
- Bayesian varying coefficient mixed-effects joint models with asymmetry and missingness
- (2017) Tao Lu et al. STATISTICAL MODELLING
- Joint two-part Tobit models for longitudinal and time-to-event data
- (2017) Getachew A. Dagne STATISTICS IN MEDICINE
- Bayesian semiparametric mixed-effects joint models for analysis of longitudinal-competing risks data with skew distribution
- (2017) Tao Lu Statistics and Its Interface
- Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data
- (2016) An-Min Tang et al. BIOMETRICAL JOURNAL
- Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues
- (2016) Graeme L. Hickey et al. BMC Medical Research Methodology
- Bayesian inference on longitudinal-survival data with multiple features
- (2016) Tao Lu COMPUTATIONAL STATISTICS
- Jointly modeling skew longitudinal survival data with missingness and mismeasured covariates
- (2016) Tao Lu JOURNAL OF APPLIED STATISTICS
- A shared parameter model of longitudinal measurements and survival time with heterogeneous random-effects distribution
- (2016) Taban Baghfalaki et al. JOURNAL OF APPLIED STATISTICS
- Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective
- (2016) Huirong Zhu et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- A Bayesian model for joint analysis of multivariate repeated measures and time to event data in crossover trials
- (2016) Fang Liu et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson’s disease
- (2016) Bo He et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Bayesian joint modeling of longitudinal and spatial survival AIDS data
- (2016) Rui Martins et al. STATISTICS IN MEDICINE
- Joint longitudinal hurdle and time-to-event models: an application related to viral load and duration of the first treatment regimen in patients with HIV initiating therapy
- (2016) Samuel L. Brilleman et al. STATISTICS IN MEDICINE
- Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple features
- (2016) Yangxin Huang et al. STATISTICS IN MEDICINE
- Bayesian joint ordinal and survival modeling for breast cancer risk assessment
- (2016) C. Armero et al. STATISTICS IN MEDICINE
- Mixture Joint Models for Event Time and Longitudinal Data With Multiple Features
- (2016) Yangxin Huang et al. Statistics in Biopharmaceutical Research
- A Longitudinal, Observational Study with Many Repeated Measures Demonstrated Improved Precision of Individual Survival Curves Using Bayesian Joint Modeling of Disability and Survival
- (2015) Terrence E. Murphy et al. EXPERIMENTAL AGING RESEARCH
- Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data
- (2015) Carles Serrat et al. JOURNAL OF APPLIED STATISTICS
- Mixed-effects varying-coefficient model with skewed distribution coupled with cause-specific varying-coefficient hazard model with random-effects for longitudinal-competing risks data analysis
- (2015) Tao Lu et al. Journal of Biopharmaceutical Statistics
- Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data
- (2015) Eleni-Rosalina Andrinopoulou et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Bayesian nonparametric mixed-effects joint model for longitudinal-competing risks data analysis in presence of multiple data features
- (2015) Tao Lu STATISTICAL METHODS IN MEDICAL RESEARCH
- A Bayesian mixture of semiparametric mixed-effects joint models for skewed-longitudinal and time-to-event data
- (2015) Jiaqing Chen et al. STATISTICS IN MEDICINE
- Semiparametric Bayesian inference on skew-normal joint modeling of multivariate longitudinal and survival data
- (2015) An-Min Tang et al. STATISTICS IN MEDICINE
- Semiparametric Bayesian joint models of multivariate longitudinal and survival data
- (2014) Nian-Sheng Tang et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Prediction of transplant-free survival in idiopathic pulmonary fibrosis patients using joint models for event times and mixed multivariate longitudinal data
- (2014) Jiin Choi et al. JOURNAL OF APPLIED STATISTICS
- Joint modeling of multivariate longitudinal mixed measurements and time to event data using a Bayesian approach
- (2014) T. Baghfalaki et al. JOURNAL OF APPLIED STATISTICS
- Bayesian Joint Modeling of Longitudinal Measurements and Time-to-Event Data Using Robust Distributions
- (2014) T. Baghfalaki et al. Journal of Biopharmaceutical Statistics
- Jointly Modeling Event Time and Skewed-Longitudinal Data with Missing Response and Mismeasured Covariate for AIDS Studies
- (2014) Yangxin Huang et al. Journal of Biopharmaceutical Statistics
- Combining Dynamic Predictions From Joint Models for Longitudinal and Time-to-Event Data Using Bayesian Model Averaging
- (2014) Dimitris Rizopoulos et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates
- (2014) Qingxia Chen et al. STATISTICS IN MEDICINE
- Joint modeling of two longitudinal outcomes and competing risk data
- (2014) Eleni-Rosalina Andrinopoulou et al. STATISTICS IN MEDICINE
- Joint models: when are treatment estimates improved?
- (2014) Laura A. Hatfield et al. Statistics and Its Interface
- Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: A Bayesian approach
- (2013) Taban Baghfalaki et al. BIOMETRICAL JOURNAL
- Real-Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models
- (2013) Jeremy M. G. Taylor et al. BIOMETRICS
- The gradient function as an exploratory goodness-of-fit assessment of the random-effects distribution in mixed models
- (2013) Geert Verbeke et al. BIOSTATISTICS
- Jointly modeling time-to-event and longitudinal data: a Bayesian approach
- (2013) Yangxin Huang et al. Statistical Methods and Applications
- Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data
- (2012) Hongtu Zhu et al. BIOMETRICS
- Multilevel Bayesian Models for Survival Times and Longitudinal Patient-Reported Outcomes With Many Zeros
- (2012) Laura A. Hatfield et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Joint latent class models for longitudinal and time-to-event data: A review
- (2012) Cécile Proust-Lima et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data
- (2011) Li Su et al. Annals of Applied Statistics
- Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture
- (2011) Michael J. Sweeting et al. BIOMETRICAL JOURNAL
- Joint Modeling of Multiple Longitudinal Patient-Reported Outcomes and Survival
- (2011) Laura A. Hatfield et al. Journal of Biopharmaceutical Statistics
- A mixture model for the joint analysis of latent developmental trajectories and survival
- (2011) Rinke H. Klein Entink et al. STATISTICS IN MEDICINE
- Bayesian inference on joint models of HIV dynamics for time-to-event and longitudinal data with skewness and covariate measurement errors
- (2011) Yangxin Huang et al. STATISTICS IN MEDICINE
- A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event
- (2011) Dimitris Rizopoulos et al. STATISTICS IN MEDICINE
- Basic Concepts and Methods for Joint Models of Longitudinal and Survival Data
- (2010) Joseph G. Ibrahim et al. JOURNAL OF CLINICAL ONCOLOGY
- Joint modelling of survival and cognitive decline in the Australian Longitudinal Study of Ageing
- (2010) Petra L. Graham et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
- A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects
- (2010) Xin Huang et al. LIFETIME DATA ANALYSIS
- A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome
- (2010) Feng Gao et al. Statistical Methods and Applications
- Joint modeling of longitudinal data and informative dropout time in the presence of multiple changepoints
- (2010) Pulak Ghosh et al. STATISTICS IN MEDICINE
- Joint Modeling for Cognitive Trajectory and Risk of Dementia in the Presence of Death
- (2009) Binbing Yu et al. BIOMETRICS
- A Bayesian approach to joint analysis of longitudinal measurements and competing risks failure time data
- (2009) Wenhua Hu et al. STATISTICS IN MEDICINE
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started