Journal of Biometrics & Biostatistics

Dr. Lourens' research interests are in joint modeling of longitudinal and survival data, with special consideration to nonlinear forms for the trajectory of the longitudinal over time, as well as accomodating practical issues that show up often in biomedical studies involving human subjects, such as nonbalanced designs, missing data, and differing visit patterns by subjects. Dr. Lourens also has interest in mixture distributions, specifically studying bias of estimation of model parameters, and machine learning algorithms used for predictive purposes when prediction is the primary aim of analysis.

Dr. Lourens' collaborative research has mostly involved neurological diseases, such as Huntington Disease, and the study of munitions workers and risk for pulmonary cancers. He is very excited to explore new collaborative opportunities at Indiana University, and welcomes new challenges in this arena.