This course is the successor to the course Concepts of Bayesian Inference. Both courses are based on the book Bayesian Biostatistics of Lesaffre and Lawson (2012...Read more
With increasing...Read more
The following topics will be addressed during this course: simulation studies, Monte Carlo methods, differential equations, numerical analysis.Read more
Compartmental models for transmission, Statistical models foe infectious disease data.Read more
Bioinformatics; protein family modelling; protein identification; protein expression analysis; mass spectrometry....Read more
Inference for mixed populations.
Non-linear mixed-effects models.
Hidden Markov models.Read more
Semiparametric regression methods build on parametric regression models by allowing more flexible relationships between the predictors and the response variables. Examples of...Read more
Microarray technology, Data processing, Normalization techniques, Asymptotic versus resampeling based inference, Statistical analysis of microarray data, group comparisons, Multiplicity,...Read more