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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Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines. AmazonGlobal Ship Orders Internationally. Help us improve our Author Pages by updating your bibliography and submitting a new or current image and biography. Weighted pairwise likelihood estimation for a general class of random effects models. A joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patients.
Africa [ course link ] [ slides ] [ R script ] [ Solutions practicals ]. A case study on heart transplant data. Statistics in Medicine 35, British Journal of Mathematical and Statistical Psychology 61 Diimitris hierarchical modeling of longitudinal glaucomatous visual fields using a two-stage approach. Nonignorable models for intermittently missing categorical longitudinal responses.
Statistics and Computing 24, Journal of Statistical Software 17 5 Journal of Statistical Software 84 12 Mijn Erasmus MC geeft u online inzage in uw medisch dossier Lees meer of log direct in. Multiple-imputation-based residuals and diagnostic plots for joint models of longitudinal and survival outcomes.
Erasmus MC : Dimitris Rizopoulos
Fast fitting of joint models for longitudinal and event time rizoppulos using a pseudo-adaptive Gaussian quadrature rule.
Joint models for longitudinal and time-to-event data: A flexible joint modelling framework for longitudinal and time-to-event data with overdispersion. New articles related to this author’s research.
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Statistics in Medicine 36, Journalisten kunnen voor persvragen bellen of mailen naar onze persvoorlichters. Molewaterplein 30, Rotterdam Parkeren: Biometrics 67 Learn more about Amazon Prime. Graag horen wij geheel anoniem uw mening over het Erasmus MC Direct naar vragenlijst. Joint modeling of two longitudinal rizopoullos and competing risk data. Dealing with time-varying covariates in survival analysis – Joint models versus Cox models.
CD4 cell counts for HIV infected patients, PSA levels for prostate cancer patients, rizopoulow serum bilirubin levels for liver cirrhosis patients. I currently serve as a co-Editor for Biostatistics [ twitter handle ].
Individualized Predictions, Time-varying Effects and Time-varying Covariates Extensions of joint models for improving subject-specific predictions.
Greg is a PhD student working on adapting joint models to incorporate time-varying interventions during follow-up and assess their performance. Biostatistics 8 An R package for the joint modelling of longitudinal and time-to-event data.
Dimitris Rizopoulos – Google Scholar Citations
Please try your request again later. She currently also writes an R package for implementing a full Bayesian anlysis in such settings rlzopoulos the sequential approach. My profile My library Metrics Alerts. Parkeren Westzeedijk Parkeergarage Wytemaweg Contact en route. Amazon Renewed Refurbished products with a warranty. Are you an author? Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data.
Alexa Actionable Analytics for the Web. A two-stage joint model for nonlinear longitudinal response and a time-to-event with application in transplantation studies. A comparison between multiple imputation and a full Bayesian approach.
Get my own profile Cited by View all All Since Citations h-index 33 32 iindex riaopoulos Tandartsenpost Acute tandheelkundige situaties: