Due to unforeseen circumstances and a low number of registered participants we regret to inform you that we had to decide to cancel this year's course. We know this is disappointing news but we would like to thank you for your interest in our course which we plan to run again in 2018.
Yannick Vandendijck has recently been awarded his PhD in Statistics degree from Hasselt University. We are very happy that Yannick will continue to be a member of the SIMID team. Yannick Vandendijck: ‘ Semi-Parametric Methods for Applications in Survey Data and Geostatistical Data’ – 25 September 2015.
Steven Abrams has recently been awarded his PhD in Statistics degree from Hasselt University. We are very happy that Steven will continue to be a member of the SIMID team. Steven Abrams: 'Statistical models for estimating individual heterogeneity in acquisition of infectious diseases and outbreak risk in highly vaccinated populations' - 18 September 2015.
Wim Delva has been awarded a postdoctoral fellowship by the FWO and will join the SIMID group. His FWO research project is a collaborative project between Hasselt University (Niel Hens) and the KULeuven (Annemie Vandamme), entitled "Combining phylodynamics and agent-based HIV transmission modelling to advance epidemiological methodology and evidence- based public health policies for HIV prevention and treatment"
Benson Ogunjimi and Lander Willem have recently been awarded their PhD degree. Benson Ogunjimi: 'The quantitative analysis of varicella-zoster virus infection: from epidemiology to immunology' - 27 April 2015 Lander Willem: 'Agent-based models for infectious disease transmission: exploration, estimation & computational efficiency' - 18 June 2015
We have proposed penalized generalized estimating equations with Elastic Net or L2-Smoothly Clipped Absolute Deviation penalization to simultaneously select the most important variables and estimate their effects for longitudinal Gaussian data when multicollinearity is present. The method is able to consistently select and estimate the main effects even when strong correlations are present. In addition, the potential pitfall of time-dependent covariates is clarified. More info...