Posted on March 23, 2019


A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time‐to‐event. D Rizopoulos, P Ghosh. Statistics in medicine 30 . Dimitris Rizopoulos of Erasmus MC, Rotterdam (Erasmus MC) with expertise in: Statistics and Epidemiology. Read publications, and contact Dimitris. The latest Tweets from Dimitris Rizopoulos (@drizopoulos). Professor @ Erasmus University Medical Center, co-Editor of Biostatistics. Rotterdam.

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Generalized latent variable models with nonlinear effects. Statistical Modelling 15, Get to Know Us. Approximate likelihood inference in generalized linear latent variable models based on the dimension-wise quadrature. Personalized Active Surveilance and Screening Novel methods for optimally planning when to collect longitudinal measurements or event information.

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dblp: Dimitris Rizopoulos

Journal of the Royal Statistical Society: Low to High Price: My focus is in studying the association between such markers and the risk for an event, and developing dynamic prediction tools. Amazon Inspire Digital Educational Resources.

Weighted pairwise likelihood estimation for a general class of random effects models. The current composition of my research group: Statistical Methods in Medical Research 26, I am a professor of biostatistics at the Erasmus Medical Center Rotterdam.


Molewaterplein 30, Rotterdam Parkeren: Only 1 left in stock – order soon. Autograft and pulmonary allograft performance in the second post-operative decade after the Ross procedure: Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule. European heart journal 33 17, Interactive Prediction Tools based on Joint Models.

New citations to cimitris author.

Erasmus MC : Dimitris Rizopoulos

Dealing with missing covariates in epidemiologic studies: A joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patients.

Repeated Measurements In the GitHub repository a shiny app that replicates all analysis in the course [ course link ] [ GitHub ] [ slides ]. Statistics in Medicine 35, De alarmcentrale stuurt dan onmiddellijk de juiste hulp.

An R dimitria for latent variable modeling dimotris item response theory analyses D Rizopoulos. The major R packages I have developed and currently maintain. Biostatistics 8 Available for download now. Journal of Statistical Software 35 9 Sara is a PhD student working on fitting joint models in studies with special types of designs, and in particular in case-cohort designs.

Multiple-imputation-based residuals and diagnostic plots for joint models of longitudinal and survival outcomes. Joint modeling of two longitudinal outcomes and competing risk data. Joint models for longitudinal and time-to-event survival data using MCMC.

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Their combined citations are counted only for the first article. New articles related to this author’s research.

Current methods and issues. Statistics and Computing 24, Verified email at erasmusmc.

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There’s a problem loading this menu right now. Joint models for longitudinal and time-to-event data: Acute huisartsenzorg Huisarts aanwezig op onderstaande tijden. An R package for the joint modelling of longitudinal and time-to-event data.

Local sensitivity of shared parameter models to non-ignorability of dropout. Journal of virology 88 3, Alexa Actionable Analytics for the Web. High to Low Avg. Currently on time-varying association structures, and a dimmitris of shared random effects joint models with joint latent class models.

She currently also writes an R package for implementing a full Bayesian anlysis in such settings under the sequential approach. Journal of Statistical Software 17 5 The natural and unnatural history of the Mustard procedure: Amazon Restaurants Food delivery from local restaurants.