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Dimitris Rizopoulos

Showing results (1-10 of 222) with videos related to

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Biometrics|February 11, 2011
Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event dataDimitris Rizopoulos
Statistics in Medicine|June 3, 2015
Comments on 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian Joint Modeling Working Group'Dimitris Rizopoulos
The British Journal of Mathematical and Statistical Psychology|May 31, 2007
Generalized latent variable models with non-linear effectsDimitris Rizopoulos, Irini Moustaki
Statistical Methods in Medical Research|January 15, 2014
Introduction to the special issue on joint modelling techniquesDimitris Rizopoulos, Emmanuel Lesaffre
Biostatistics (Oxford, England)|November 20, 2019
Machine learning for causal inference in BiostatisticsSherri Rose, Dimitris Rizopoulos
Statistics in Medicine|February 22, 2011
A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-eventDimitris Rizopoulos, Pulak Ghosh
Statistics in Medicine|July 8, 2016
Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structuresEleni-Rosalina Andrinopoulou, Dimitris Rizopoulos
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|June 22, 2014
Tools & techniques--statistics: Dealing with time-varying covariates in survival analysis--joint models versus Cox modelsDimitris Rizopoulos, Johanna J M Takkenberg
Statistics in Medicine|January 25, 2024
Optimizing dynamic predictions from joint models using super learningDimitris Rizopoulos, Jeremy M G Taylor
Statistics in Medicine|September 2, 2006
Power and sample size calculations for discrete bounded outcome scoresRoula Tsonaka, Dimitris Rizopoulos, Emmanuel Lesaffre
Pageof 23

Showing results (1-10 of 222) with videos related to

Sort By:
Pageof 23
Biometrics|February 11, 2011
Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event dataDimitris Rizopoulos
Statistics in Medicine|June 3, 2015
Comments on 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian Joint Modeling Working Group'Dimitris Rizopoulos
The British Journal of Mathematical and Statistical Psychology|May 31, 2007
Generalized latent variable models with non-linear effectsDimitris Rizopoulos, Irini Moustaki
Statistical Methods in Medical Research|January 15, 2014
Introduction to the special issue on joint modelling techniquesDimitris Rizopoulos, Emmanuel Lesaffre
Biostatistics (Oxford, England)|November 20, 2019
Machine learning for causal inference in BiostatisticsSherri Rose, Dimitris Rizopoulos
Statistics in Medicine|February 22, 2011
A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-eventDimitris Rizopoulos, Pulak Ghosh
Statistics in Medicine|July 8, 2016
Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structuresEleni-Rosalina Andrinopoulou, Dimitris Rizopoulos
Eurointervention : Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology|June 22, 2014
Tools & techniques--statistics: Dealing with time-varying covariates in survival analysis--joint models versus Cox modelsDimitris Rizopoulos, Johanna J M Takkenberg
Statistics in Medicine|January 25, 2024
Optimizing dynamic predictions from joint models using super learningDimitris Rizopoulos, Jeremy M G Taylor
Statistics in Medicine|September 2, 2006
Power and sample size calculations for discrete bounded outcome scoresRoula Tsonaka, Dimitris Rizopoulos, Emmanuel Lesaffre
Pageof 23