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.
|Published (Last):||13 February 2010|
|PDF File Size:||11.95 Mb|
|ePub File Size:||13.42 Mb|
|Price:||Free* [*Free Regsitration Required]|
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.
ComiXology Thousands of Digital Comics. Amazon Drive Cloud storage from Amazon.
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.
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.
Similar authors to follow
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.