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Time-dependent Predictive Accuracy Metrics in the Context of Interval
Censoring and Competing Risks
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2025
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Z. Yang
Dimitris Rizopoulos
Lisa F. Newcomb
Nicole S. Erler
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Projected Outcomes of Reduced-Biopsy Management of Grade Group 1 Prostate Cancer: Implications for Relabeling
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2024
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Yibai Zhao
Roman Gulati
Z. Yang
Lisa F. Newcomb
Yingye Zheng
Kehao Zhu
Menghan Liu
Eveline A.M. Heijnsdijk
Michael C. Haffner
Matthew R. Cooperberg
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A joint model for (un)bounded longitudinal markers, competing risks, and
recurrent events using patient registry data
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2024
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Pedro Miranda Afonso
Dimitris Rizopoulos
Anushka Palipana
Emrah Gecili
Cole Brokamp
John Clancy
Rhonda D. Szczesniak
Eleni-Rosalina Andrinopoulou
|
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A Bayesian Joint Modelling for Misclassified Interval-censoring and
Competing Risks
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2024
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Z. Yang
Dimitris Rizopoulos
Eveline A.M. Heijnsdijk
Lisa F. Newcomb
Nicole S. Erler
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Using joint models for longitudinal and time-to-event data to investigate the causal effect of salvage therapy after prostatectomy
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2024
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Dimitris Rizopoulos
Jeremy M. G. Taylor
Grigorios Papageorgiou
Todd M. Morgan
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Optimizing dynamic predictions from joint models using super learning
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2024
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Dimitris Rizopoulos
Jeremy M. G. Taylor
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An illnessādeath multistate model to implement delta adjustment and referenceābased imputation with timeātoāevent endpoints
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2023
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Alberto GarcĆaāHernandez
Teresa PĆ©rez
MarĆa del Carmen Pardo
Dimitris Rizopoulos
|
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Correction: A competing risk joint model for dealing with different types of missing data in an intervention trial in prodromal Alzheimerās disease
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2023
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Floor M. van Oudenhoven
Sophie H. N. Swinkels
Hilkka Soininen
Miia Kivipelto
Tobias Hartmann
Dimitris Rizopoulos
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Sample size calculation for clinical trials analyzed with the metaāanalyticāpredictive approach
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2023
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Hongchao Qi
Dimitris Rizopoulos
Joost van Rosmalen
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Using Joint Models for Longitudinal and Time-to-Event Data to Investigate the Causal Effect of Salvage Therapy after Prostatectomy
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2023
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Dimitris Rizopoulos
Jeremy M. G. Taylor
Grigorios Papageorgiou
Todd M. Morgan
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Optimizing Dynamic Predictions from Joint Models using Super Learning
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2023
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Dimitris Rizopoulos
Jeremy M. G. Taylor
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Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data
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2023
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P. Miranda Afonso
Dimitris Rizopoulos
Anushka Palipana
Guorui Zhou
Cole Brokamp
Rhonda D. Szczesniak
E-R. Andrinopoulou
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A Flexible Analytical Framework for Reference-Based Imputation, Delta Adjustment and Tipping-Point Stress-Testing
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2022
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Alberto GarcĆaāHernandez
Teresa PĆ©rez
MarĆa del Carmen Pardo
Dimitris Rizopoulos
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Using joint models to study the association between CD4 count and the risk of death in TB/HIV data
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2022
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Nobuhle Mchunu
Henry Mwambi
Dimitris Rizopoulos
Tarylee Reddy
Nonhlanhla YendeāZuma
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Modeling the underlying biological processes in Alzheimer's disease using a multivariate competing risk joint model
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2022
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Floor M. van Oudenhoven
Sophie H. N. Swinkels
Tobias Hartmann
Dimitris Rizopoulos
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Incorporating historical control information in <scp>ANCOVA</scp> models using the metaāanalyticāpredictive approach
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2022
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Hongchao Qi
Dimitris Rizopoulos
Joost van Rosmalen
|
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Using Joint Models To Study The Association Between CD4 Count And The Risk Of Death In TB/HIV Data
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2022
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Nobuhle Mchunu
Henry Mwambi
Dimitris Rizopoulos
Tarylee Reddy
Nonhlanhla YendeāZuma
|
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Shared decision making of burdensome surveillance tests using personalized schedules and their burden and benefit
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2022
|
Anirudh Tomer
Daan Nieboer
Monique J. Roobol
Ewout W. Steyerberg
Dimitris Rizopoulos
|
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Incorporating historical controls in clinical trials with longitudinal outcomes using the modified power prior
|
2022
|
Hongchao Qi
Dimitris Rizopoulos
Emmanuel Lesaffre
Joost van Rosmalen
|
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Personalized Biopsy Schedules Using an Interval-censored Cause-specific Joint Model
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2022
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Z. Yang
Dimitris Rizopoulos
Eveline A.M. Heijnsdijk
Lisa F. Newcomb
Nicole S. Erler
|
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A competing risk joint model for dealing with different types of missing data in an intervention trial in prodromal Alzheimerās disease
|
2021
|
Floor M. van Oudenhoven
Sophie H. N. Swinkels
Hilkka Soininen
Miia Kivipelto
Tobias Hartmann
Dimitris Rizopoulos
Tobias Hartmann
Hilkka Soininen
Miia Kivipelto
Alina Solomon
|
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Reflection on modern methods: Dynamic prediction using joint models of longitudinal and time-to-event data
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2021
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EleniāRosalina Andrinopoulou
Michael O. Harhay
Sarah J. Ratcliffe
Dimitris Rizopoulos
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JMbayes2: Extended Joint Models for Longitudinal and Time-to-Event Data
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2021
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Dimitris Rizopoulos
Grigorios Papageorgiou
Pedro Miranda Afonso
|
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<b>JointAI</b>: Joint Analysis and Imputation of Incomplete Data in <i>R</i>
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2021
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Nicole S. Erler
Dimitris Rizopoulos
Emmanuel Lesaffre
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Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes
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2020
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Khursheed Alam
Arnab Maity
Sanjoy K. Sinha
Dimitris Rizopoulos
Abdus Sattar
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A Bayesian joint model for zeroāinflated integers and leftātruncated event times with a timeāvarying association: Applications to senior health care
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2020
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Xavier Piulachs
EleniāRosalina Andrinopoulou
Montserrat GuillƩn
Dimitris Rizopoulos
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Pairwise estimation of multivariate longitudinal outcomes in a Bayesian setting with extensions to the joint model
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2020
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Katya Mauff
Nicole S. Erler
Isabella Kardys
Dimitris Rizopoulos
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A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling framework
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2020
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Floor M. van Oudenhoven
Sophie H. N. Swinkels
Joseph G. Ibrahim
Dimitris Rizopoulos
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<scp>MMRM</scp> vs joint modeling of longitudinal responses and time to study drug discontinuation in clinical trials using a āde jureā estimand
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2020
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Alberto GarcĆaāHernandez
Teresa PĆ©rez
MarĆa del Carmen Pardo
Dimitris Rizopoulos
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An alternative characterization of MAR in shared parameter models for incomplete longitudinal data and its utilization for sensitivity analysis
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2020
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Grigorios Papageorgiou
Dimitris Rizopoulos
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An alternative characterization of MAR in shared parameter models for incomplete longitudinal data and its utili
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2020
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ĪĪµĻĻĪ³Ī¹ĪæĻ Ī Ī±ĻĪ±Ī³ĪµĻĻĪ³ĪÆĪæĻ
Dimitris Rizopoulos
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Integrating latent classes in the Bayesian shared parameter joint model of longitudinal and survival outcomes
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2020
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EleniāRosalina Andrinopoulou
Kazem Nasserinejad
Rhonda D. Szczesniak
Dimitris Rizopoulos
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Joint models with multiple longitudinal outcomes and a time-to-event outcome: a corrected two-stage approach
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2020
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Katya Mauff
Ewout W. Steyerberg
Isabella Kardys
Eric Boersma
Dimitris Rizopoulos
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Individualized dynamic prediction of survival with the presence of intermediate events
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2019
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Grigorios Papageorgiou
Mostafa M. Mokhles
Johanna J.M. Takkenberg
Dimitris Rizopoulos
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Machine learning for causal inference in Biostatistics
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2019
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Sherri Rose
Dimitris Rizopoulos
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JointAI: Joint Analysis and Imputation of Incomplete Data in R
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2019
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Nicole S. Erler
Dimitris Rizopoulos
Emmanuel Lesaffre
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Using joint models to disentangle intervention effect types and baseline confounding: an application within an intervention study in prodromal Alzheimerās disease with Fortasyn Connect
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2019
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Floor M. van Oudenhoven
Sophie H. N. Swinkels
Tobias Hartmann
Hilkka Soininen
Anneke M.J. van Hees
Dimitris Rizopoulos
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cvGEE: Cross-Validated Predictions from GEE
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2019
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Dimitris Rizopoulos
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Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
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2019
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Anirudh Tomer
Dimitris Rizopoulos
Daan Nieboer
FrankāJan H. Drost
Monique J. Roobol
Ewout W. Steyerberg
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Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
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2019
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Anirudh Tomer
Dimitris Rizopoulos
Daan Nieboer
FrankāJan H. Drost
Monique J. Roobol
Ewout W. Steyerberg
|
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Understanding of interaction (subgroup) analysis in clinical trials
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2019
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MiloÅ” BrankoviÄ
Isabella Kardys
Ewout W. Steyerberg
Stanley Lemeshow
Maja D. MarkoviÄ
Dimitris Rizopoulos
Eric Boersma
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Dynamic Risk Prediction
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2019
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Dimitris Rizopoulos
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Joint models for longitudinal and timeātoāevent data in a caseācohort design
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2019
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Sara J. Baart
Eric Boersma
Dimitris Rizopoulos
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Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
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2019
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Anirudh Tomer
Dimitris Rizopoulos
Daan Nieboer
FrankāJan H. Drost
Monique J. Roobol
Ewout W. Steyerberg
|
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JointAI: Joint Analysis and Imputation of Incomplete Data in R
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2019
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Nicole S. Erler
Dimitris Rizopoulos
Emmanuel Lesaffre
|
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Joint Models with Multiple Longitudinal Outcomes and a Time-to-Event Outcome
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2018
|
Katya Mauff
Ewout W. Steyerberg
Isabella Kardys
Eric Boersma
Dimitris Rizopoulos
|
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An Overview of Joint Modeling of Time-to-Event and Longitudinal Outcomes
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2018
|
Grigorios Papageorgiou
Katya Mauff
Anirudh Tomer
Dimitris Rizopoulos
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Personalized Schedules for Surveillance of Low-Risk Prostate Cancer Patients
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2018
|
Anirudh Tomer
Daan Nieboer
Monique J. Roobol
Ewout W. Steyerberg
Dimitris Rizopoulos
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GLMMadaptive: Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
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2018
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Dimitris Rizopoulos
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Personalized dynamic risk assessment in nephrology is a next step in prognostic research
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2018
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MiloÅ” BrankoviÄ
Isabella Kardys
Ewout J. Hoorn
Sara J. Baart
Eric Boersma
Dimitris Rizopoulos
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Individualized Dynamic Prediction of Survival under Time-Varying Treatment Strategies
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2018
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Grigorios Papageorgiou
Mostafa M. Mokhles
Johanna J.M. Takkenberg
Dimitris Rizopoulos
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Integrating Latent Classes in the Bayesian Shared Parameter Joint Model of Longitudinal and Survival Outcomes
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2018
|
EleniāRosalina Andrinopoulou
Kazem Nasserinejad
Rhonda D. Szczesniak
Dimitris Rizopoulos
|
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Active surveillance: a review of risk-based, dynamic monitoring
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2018
|
Daan Nieboer
Anirudh Tomer
Dimitris Rizopoulos
Monique J. Roobol
Ewout W. Steyerberg
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<tt>%JM</tt>: A <i>SAS</i> Macro to Fit Jointly Generalized Mixed Models for Longitudinal Data and Time-to-Event Responses
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2018
|
Alberto GarcĆaāHernandez
Dimitris Rizopoulos
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Individualized Dynamic Prediction of Survival under Time-Varying Treatment Strategies
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2018
|
Grigorios Papageorgiou
Mostafa M. Mokhles
Johanna J.M. Takkenberg
Dimitris Rizopoulos
|
+
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Integrating Latent Classes in the Bayesian Shared Parameter Joint Model of Longitudinal and Survival Outcomes
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2018
|
EleniāRosalina Andrinopoulou
Kazem Nasserinejad
Rhonda D. Szczesniak
Dimitris Rizopoulos
|
+
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Improved Dynamic Predictions from Joint Models of Longitudinal and Survival Data with Time-varying Effects Using P-splines
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2017
|
Eleni-Rosalina Andrinopoulou
Paul H.C. Eilers
Johanna J.M. Takkenberg
Dimitris Rizopoulos
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+
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Personalized Schedules for Surveillance of Low Risk Prostate Cancer Patients
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2017
|
Anirudh Tomer
Daan Nieboer
Monique J. Roobol
Ewout W. Steyerberg
Dimitris Rizopoulos
|
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Editorial āJoint modeling of longitudinal and time-to-event data and beyondā
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2017
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CarmƩn Cadarso-SuƔrez
Nadja Klein
Thomas Kneib
Geert Molenberghs
Dimitris Rizopoulos
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drizopoulos/JMbayes: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
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2017
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Dimitris Rizopoulos
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Bayesian imputation of time-varying covariates in linear mixed models
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2017
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Nicole S. Erler
Dimitris Rizopoulos
Vincent W. V. Jaddoe
Oscar H. Franco
Emmanuel Lesaffre
|
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Dynamic predictions with timeādependent covariates in survival analysis using joint modeling and landmarking
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2017
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Dimitris Rizopoulos
Geert Molenberghs
Emmanuel Lesaffre
|
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Bayesian hierarchical modeling of longitudinal glaucomatous visual fields using a twoāstage approach
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2017
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Susan R Bryan
Paul H.C. Eilers
Joost van Rosmalen
Dimitris Rizopoulos
Koenraad A. Vermeer
Hans G. Lemij
Emmanuel Lesaffre
|
+
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Approximate likelihood inference in generalized linear latent variable models based on the dimension-wise quadrature
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2017
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Silvia Bianconcini
Silvia Cagnone
Dimitris Rizopoulos
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+
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Personalized Schedules for Surveillance of Low Risk Prostate Cancer Patients
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2017
|
Anirudh Tomer
Daan Nieboer
Monique J. Roobol
Ewout W. Steyerberg
Dimitris Rizopoulos
|
+
PDF
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Dementia and death: Separate sides of the atrial fibrillation coin?
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2016
|
Frank J. Wolters
Dimitris Rizopoulos
M. Arfan Ikram
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Improved Dynamic Predictions from Joint Models of Longitudinal and Survival Data with Time-Varying Effects using P-splines
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2016
|
EleniāRosalina Andrinopoulou
Paul H.C. Eilers
Johanna J.M. Takkenberg
Dimitris Rizopoulos
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+
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Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structures
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2016
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EleniāRosalina Andrinopoulou
Dimitris Rizopoulos
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+
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Joint Modeling in Health Sciences
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2016
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Dimitris Rizopoulos
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Dealing with missing covariates in epidemiologic studies: a comparison between multiple imputation and a full Bayesian approach
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2016
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Nicole S. Erler
Dimitris Rizopoulos
Joost van Rosmalen
Vincent W. V. Jaddoe
Oscar H. Franco
Emmanuel Lesaffre
|
+
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The<i>R</i>Package<b>JMbayes</b>for Fitting Joint Models for Longitudinal and Time-to-Event Data Using MCMC
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2016
|
Dimitris Rizopoulos
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+
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Improved Dynamic Predictions from Joint Models of Longitudinal and Survival Data with Time-Varying Effects using P-splines
|
2016
|
EleniāRosalina Andrinopoulou
Paul H.C. Eilers
Johanna J.M. Takkenberg
Dimitris Rizopoulos
|
+
PDF
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Personalized screening intervals for biomarkers using joint models for longitudinal and survival data
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2015
|
Dimitris Rizopoulos
Jeremy M. G. Taylor
Joost van Rosmalen
Ewout W. Steyerberg
Johanna J.M. Takkenberg
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+
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A modified weighted pairwise likelihood estimator for a class of random effects models
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2015
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Kostas Florios
Irini Moustaki
Dimitris Rizopoulos
Vassilis Vasdekis
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Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data
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2015
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EleniāRosalina Andrinopoulou
Dimitris Rizopoulos
Johanna J.M. Takkenberg
Emmanuel Lesaffre
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Comments on āJoint modeling of survival and longitudinal nonāsurvival data: current methods and issues. Report of the DIA Bayesian Joint Modeling Working Groupā
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2015
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Dimitris Rizopoulos
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Personalized Screening Intervals for Biomarkers using Joint Models for Longitudinal and Survival Data
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2015
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Dimitris Rizopoulos
Jeremy M. G. Taylor
Joost van Rosmalen
Ewout W. Steyerberg
Johanna J.M. Takkenberg
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+
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Approximate likelihood inference in generalized linear latent variable models based on integral dimension reduction
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2015
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Silvia Bianconcini
Silvia Cagnone
Dimitris Rizopoulos
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+
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Bayesian Hierarchical Modeling of Longitudinal Glaucomatous Visual Fields using a Two-Stage Approach
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2015
|
Susan R Bryan
Paul H.C. Eilers
Bingjie Li
Dimitris Rizopoulos
Koenraad A. Vermeer
Hans G. Lemij
Emmanuel Lesaffre
|
+
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Approximate likelihood inference in generalized linear latent variable models based on integral dimension reduction
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2015
|
Silvia Bianconcini
Silvia Cagnone
Dimitris Rizopoulos
|
+
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Personalized Screening Intervals for Biomarkers using Joint Models for Longitudinal and Survival Data
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2015
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Dimitris Rizopoulos
Jeremy M. G. Taylor
Joost van Rosmalen
Ewout W. Steyerberg
Johanna J.M. Takkenberg
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+
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Simple analysis of non-Markov models: A case study on heart transplant data
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2014
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Magdalena Murawska
Dimitris Rizopoulos
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+
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Joint Modeling of Longitudinal and Time-to-Event Data
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2014
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Dimitris Rizopoulos
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+
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Weighted pairwise likelihood estimation for a general class of random effects models
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2014
|
Vassilis G. S. Vasdekis
Dimitris Rizopoulos
Irini Moustaki
|
+
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A characterization of missingness at random in a generalized sharedāparameter joint modeling framework for longitudinal and timeātoāevent data, and sensitivity analysis
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2014
|
Edmund Njeru Njagi
Geert Molenberghs
Michael G. Kenward
Geert Verbeke
Dimitris Rizopoulos
|
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Combining Dynamic Predictions From Joint Models for Longitudinal and Time-to-Event Data Using Bayesian Model Averaging
|
2014
|
Dimitris Rizopoulos
Laura A. Hatfield
Bradley P. Carlin
Johanna J.M. Takkenberg
|
+
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Tools & Techniques - Statistics: Dealing with time-varying covariates in survival analysis ā joint models versus Cox models
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2014
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Dimitris Rizopoulos
Johanna J.M. Takkenberg
|
+
PDF
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Weighted pairwise likelihood estimation for a general class of random effects models
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2014
|
Vassilis Vasdekis
Dimitris Rizopoulos
Irini Moustaki
|
+
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Local sensitivity to non-ignorability in joint models
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2014
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Sara Viviani
Dimitris Rizopoulos
Marco AlfĆ²
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+
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The R Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC
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2014
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Dimitris Rizopoulos
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+
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Joint modeling of two longitudinal outcomes and competing risk data
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2014
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EleniāRosalina Andrinopoulou
Dimitris Rizopoulos
Johanna J.M. Takkenberg
Emmanuel Lesaffre
|
+
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Introduction to the special issue on joint modelling techniques
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2014
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Dimitris Rizopoulos
Emmanuel Lesaffre
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+
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Approximate likelihood inference in latent variable models with application to the Health and Retirement Study
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2014
|
Silvia Bianconcini
Silvia Cagnone
Dimitris Rizopoulos
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+
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Weighted pairwise likelihood estimation for a general class of random effects models
|
2014
|
Vassilis G. S. Vasdekis
Dimitris Rizopoulos
Irini Moustaki
|
+
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The R Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC
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2014
|
Dimitris Rizopoulos
|
+
PDF
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A flexible joint modeling framework for longitudinal and time-to-event data with overdispersion
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2013
|
Edmund Njeru Njagi
Geert Molenberghs
Dimitris Rizopoulos
Geert Verbeke
Michael G. Kenward
Paul Dendale
Koen Willekens
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+
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Dynamic Predictions with Time-Dependent Covariates in Survival Analysis using Joint Modeling and Landmarking
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2013
|
Dimitris Rizopoulos
Magdalena Murawska
EleniāRosalina Andrinopoulou
Geert Molenberghs
Johanna J.M. Takkenberg
Emmanuel Lesaffre
|
+
PDF
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A joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patients
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2013
|
Edmund Njeru Njagi
Dimitris Rizopoulos
Geert Molenberghs
Paul Dendale
Koen Willekens
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+
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Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
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2013
|
Dimitris Rizopoulos
Laura A. Hatfield
Bradley P. Carlin
Johanna J.M. Takkenberg
|
+
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Generalized linear mixed joint model for longitudinal and survival outcomes
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2013
|
Sara Viviani
Marco AlfĆ²
Dimitris Rizopoulos
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+
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Joint Modeling of Longitudinal and Time-to-Event Data: Challenges and Future Directions
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2013
|
Dimitris Rizopoulos
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+
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Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
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2013
|
Dimitris Rizopoulos
Laura A. Hatfield
Bradley P. Carlin
Johanna J.M. Takkenberg
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+
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Dynamic Predictions with Time-Dependent Covariates in Survival Analysis using Joint Modeling and Landmarking
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2013
|
Dimitris Rizopoulos
Magdalena Murawska
EleniāRosalina Andrinopoulou
Geert Molenberghs
Johanna J.M. Takkenberg
Emmanuel Lesaffre
|
+
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Joint Models for Longitudinal and Time-to-Event Data: With Applications in R
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2012
|
Dimitris Rizopoulos
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+
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Joint Models for Longitudinal and Time-to-Event Data
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2012
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Dimitris Rizopoulos
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An Introduction to Mixed Models and Joint Modeling: Analysis of Valve Function Over Time
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2012
|
EleniāRosalina Andrinopoulou
Dimitris Rizopoulos
Ruyun Jin
Ad J.J.C. Bogers
Emmanuel Lesaffre
Johanna J.M. Takkenberg
|
+
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A Dimension Reduction Method for Approximating Integrals in Latent Variable Models for Binary Data
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2012
|
Silvia Bianconcini
Silvia Cagnone
Dimitris Rizopoulos
|
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PDF
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On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: Sequential trials, random sample sizes, and missing data
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2012
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Geert Molenberghs
Michael G. Kenward
Marc Aerts
Geert Verbeke
Anastasios A. Tsiatis
Marie Davidian
Dimitris Rizopoulos
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A Two-Stage Joint Model for Nonlinear Longitudinal Response and a Time-to-Event with Application in Transplantation Studies
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2012
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Magdalena Murawska
Dimitris Rizopoulos
Emmanuel Lesaffre
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Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule
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2011
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Dimitris Rizopoulos
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A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a timeātoāevent
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2011
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Dimitris Rizopoulos
Pulak Ghosh
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Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
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2011
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Dimitris Rizopoulos
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JM: An R Package for the Joint Modelling of Longitudinal and Time-to-Event Data
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2010
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Dimitris Rizopoulos
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<b>JM</b>: An<i>R</i>Package for the Joint Modelling of Longitudinal and Time-to-Event Data
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2010
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Dimitris Rizopoulos
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Random Effects Models for Longitudinal Data
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2010
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Geert Verbeke
Geert Molenberghs
Dimitris Rizopoulos
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Nonignorable Models for Intermittently Missing Categorical Longitudinal Responses
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2009
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Roula Tsonaka
Dimitris Rizopoulos
Geert Verbeke
Emmanuel Lesaffre
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Fully Exponential Laplace Approximations for the Joint Modelling of Survival and Longitudinal Data
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2009
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Dimitris Rizopoulos
Geert Verbeke
Emmanuel Lesaffre
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MultipleāImputationāBased Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes
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2009
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Dimitris Rizopoulos
Geert Verbeke
Geert Molenberghs
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Shared parameter models under random effects misspecification
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2008
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Dimitris Rizopoulos
Geert Verbeke
Geert Molenberghs
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A TwoāPart Joint Model for the Analysis of Survival and Longitudinal Binary Data with Excess Zeros
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2007
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Dimitris Rizopoulos
Geert Verbeke
Emmanuel Lesaffre
Yves Vanrenterghem
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Generalized latent variable models with nonālinear effects
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2007
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Dimitris Rizopoulos
Irini Moustaki
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Power and sample size calculations for discrete bounded outcome scores
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2006
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Roula Tsonaka
Dimitris Rizopoulos
Emmanuel Lesaffre
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The logistic transform for bounded outcome scores
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2006
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E. Lesaffre
Dimitris Rizopoulos
Roula Tsonaka
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<b>ltm</b>: An<i>R</i>Package for Latent Variable Modeling and Item Response Theory Analyses
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2006
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Dimitris Rizopoulos
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