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Dimitris Rizopoulos


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Dimitris Rizopoulos

Phone+31 (0)10 70 43478 or +31 (0)10 70 44514
Emaild.rizopoulos@erasmusmc.nl

Biographical Sketch

POSITION TITLE: Associate professor of Biostatistics


EDUCATION/TRAINING
Institution and location Degree Completion Date Field of Study
Athens University of Economics and Business BSc 09/2002 Statistics
Athens University of Economics and Business MSc 12/2003 Statistics
Katholieke Universiteit Leuven PhD 05/2008 Mathematics (direction Biostatistics)

Personal Statement

I am primarily interested in the statistical analysis of repeated measurements of biomarkers with time-to-event data. Examples include among others: CD4 cell counts for HIV infected patients, PSA levels for prostate cancer patients, and serum bilirubin levels for liver cirrhosis patients. My focus is in studying the association between such markers and the risk for an event, and developing dynamic prediction tools.

Research Interests:
- Survival Analysis
- Longitudinal Data Analysis
- Joint Modeling of Longitudinal & Time-to-Event Data
- Statistical Analysis with Missing Data
- Latent Variable Modeling
- Statistical Computing

Positions and Honors

Positions and employment:
- Associate Professor, March 2014 - present, Dept. of Biostatistics, Erasmus University Medical Center
- Assistant Professor, September 2008 - February 2014, Erasmus University Medical Center

Honors/Awards:
- ISCB Student Conference award (2007)
- IWSM Student Paper award (2007)
- IWSM Student Paper award (2007)
- ISCB Student Conference award (2005)
- Academic Excellence award, G. Halkiopoulos Foundation, Athens University of Economics and Business (2001)

Contributions to Science

Books:
Rizopoulos, D. (2012). Joint Models for Longitudinal and Time-to-Event Data, with Applications in R. Boca Raton: Chapman and Hall/CRC. [R code]


Methodological Publications:
Rizopoulos, D. (2016). The R package JMbayes for fitting joint models for longitudinal and time-to-event data using MCMC. Journal of Statistical Software, to appear.
Rizopoulos, D., Taylor, J.M.G., van Rosmalen, J., Steyerberg, E.W. and Takkenberg, J.J.M. (2016). Personalized screening intervals for biomarkers using joint models for longitudinal and survival data. Biostatistics 17, 149-164.
Andrinopoulou, E.R. and Rizopoulos, D. (2016). Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structures. Statistics in Medicine, to appear.
Erler, N., Rizopoulos, D., van Rosmalen, J., Jadoe, V., Franco, O. and Lesaffre, E. (2016). Dealing with missing covariates in epidemiologic studies: A comparison between multiple imputation and a full Bayesian approach. Statistics in Medicine, to appear.
Andrinopoulou, E.R., Rizopoulos, D., Takkenberg, J. and Lesaffre, E. (2016). Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data. Statistical Methods in Medical Research, to appear.
Nasserinejad, K., van Rosmalen, J. de Kort, W., Rizopoulos, D. and Lesaffre, E. (2016). Prediction of hemoglobin in blood donors using latent class mixed-effects transition models. Statistics in Medicine 35, 581-594.
Garcia-Hernandez, A. and Rizopoulos, D. (2016). %JM: A SAS macro to fit jointly generalized mixed models for longitudinal data and time-to-event responses. Journal of Statistical Software, to appear.
Rizopoulos, D. (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'. Statistics in Medicine 34, 2196-2197.
Murawska, M. and Rizopoulos, D. (2015). Simple analysis of non-Markov models: A case study on heart transplant data. Statistical Modelling 15, 51-69.
Rizopoulos, D., Hatfield, L., Carlin, B. and Takkenberg, J. (2014). Combining dynamic predictions from joint models for longitudinal and time-to-event data using Bayesian model averaging. Journal of the American Statistical Association 109, 1385-1397.
Rizopoulos, D. and Lesaffre, E. (2014). Joint modeling techniques. Statistical Methods in Medical Research 23, 3-10.
Molenberghs, G., Kenward, M. Aerts, M., Verbeke, G., Tsiatis, AA., Davidian, M. and Rizopoulos, D. (2014). On random sample size, ignorability, ancillarity, completeness, separability and degeneracy: Sequential trials, random sample sizes, and missing data. Statistical Methods in Medical Research 23, 11-41.
Rizopoulos, D. and Takkenberg, J. (2014). Tools & Techniques: Dealing with time-varying covariates in survival analysis - Joint models versus Cox models. EuroIntervention 10, 285-288.
Andrinopoulou, E.R., Rizopoulos, D., Takkenberg, J. and Lesaffre, E. (2014). Joint modeling of two longitudinal outcomes and competing risk data. Statistics in Medicine 33, 3167-3178.
Vasdekis, V., Rizopoulos, D. and Moustaki, I. (2014). Weighted pairwise likelihood estimation for a general class of random effects models. Biostatistics 15, 677-689.
Viviani, S. Rizopoulos, D. and Alfo, M. (2014). Local sensitivity of shared parameter models to non-ignorability of dropout. Statistical Modelling 14, 205-228.
Viviani, S., Alfo, M. and Rizopoulos, D. (2014). Generalized linear mixed joint model for longitudinal and survival outcomes. Statistics and Computing 24, 417-427.
Njeru Njagi, E, Molenberghs, G., Rizopoulos, D., Verbeke, G., Kenward, M. Dendale, P. and Willekens, K. (2014). A flexible joint modelling framework for longitudinal and time-to-event data with overdispersion. Statistical Methods in Medical Research, to appear.
Njeru Njagi, E, Molenberghs, G., Kenward, M., Verbeke, G. and Rizopoulos, D. (2014). A characterization of missingness at random in a generalized shared-parameter joint modelling framework for longitudinal and time-to-event data, and sensitivity analysis. Biometrical Journal 56, 1001-1015.
Njeru Njagi, E, Rizopoulos, D., Molenberghs, G., Dendale, P. and Willekens, K. (2013). A joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patients. Statistical Modelling 13, 179-198.
Rizopoulos, D. (2012). Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule. Computational Statistics & Data Analysis 56, 491-501. Murawska, M., Rizopoulos, D. and Lesaffre, E. (2012). A two-stage joint model for nonlinear longitudinal response and a time-to-event with application in transplantation studies. Journal of Probability and Statistics 2012, article ID 194194, 18 pages.
Andrinopoulou, E.R., Rizopoulos, D., Jin, R., Bogers, A., Lesaffre, E. and Takkenberg, J. (2012). An introduction to mixed models and joint modeling: Analysis of valve function over time. Annals of Thoracic Surgery 93, 1765-1772.
Rizopoulos, D. (2011). Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data. Biometrics 67, 819-829.
Rizopoulos, D. and Ghosh, P. (2011). A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes a time-to-event. Statistics in Medicine 30, 1366-1380.
Rizopoulos, D., Verbeke, G. and Molenberghs, G. (2010). Multiple-imputation-based residuals and diagnostic plots for joint models of longitudinal and survival outcomes. Biometrics 66, 20-29. Rizopoulos, D. (2010). JM: An R package for the joint modelling of longitudinal and time-to-event data. Journal of Statistical Software 35(9), 1-33.
Tsonaka, R., Rizopoulos, D., Verbeke, G. and Lesaffre, E. (2010). Nonignorable models for intermittently missing categorical longitudinal responses. Biometrics 66, 834-844.
Rizopoulos, D., Verbeke, G. and Lesaffre, E. (2009). Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data. Journal of the Royal Statistical Society, Series B 71, 637-654.
Rizopoulos, D., Verbeke, G. and Molenberghs, G. (2008). Shared parameter models under random effects misspecification. Biometrika 95, 63-74.
Rizopoulos, D., Verbeke, G., Lesaffre, E. and Vanrenterghem, Y. (2008). A two-part joint model for the analysis of survival and longitudinal binary data with excess zeros. Biometrics 64, 611-619. Rizopoulos, D. and Moustaki, I. (2008). Generalized latent variable models with nonlinear effects. British Journal of Mathematical and Statistical Psychology 61, 415-438.
Lesaffre, E., Rizopoulos, D. and Tsonaka, R. (2007). The logistic transform for bounded outcome scores. Biostatistics 8, 72-85.
Rizopoulos, D. (2006). ltm: An R package for latent variable modelling and item response theory analyses. Journal of Statistical Software 17(5), 1-25.
Tsonaka, R., Rizopoulos, D. and Lesaffre, E. (2006). Power and sample size calculations for discrete bounded outcome scores. Statistics in Medicine 25, 4241-4252.

Research Support

Grants:
- Erasmus MC Grant, Erasmus Medical Center Rotterdam (2015{2019, e150K) { jointly with Prof. E. Steyerberg
- Vidi, NWO: Netherlands Organization for Scienti c Research PI (2014 - 2019, e800K)
- Aristeia II grant, Athens University of Economics and Business (2014 - 2015, e100K) { jointly with Prof. V. Vasdekis (PI) and Prof. I. Moustaki
- Erasmus University Rotterdam Fellowship PI (2011{2014, e135K)
- Erasmus Trustfonds travel grant (2011, e0.75K)
- PEVE3 grant, Athens University of Economics and Business, (2011, e12K) { jointly with Prof. V. Vasdekis (PI) and Prof. I. Moustaki
- PEVE2 grant, Athens University of Economics and Business (2010, e12K) { jointly with Prof. V. Vasdekis (PI)
- U.S. Army Medical Research grant (2006, e3K)

Scholarships:
- Katholieke Universiteit Leuven for pre-doctoral studies (2003{2004, e12K)
- PricewaterHouseCoopers for Master studies (2002{2003, e4.5K)

 
 
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