A wideband feed for a cylindrical radio telescope

- A prediction rule is a statistical model that can be used to predict the presence or absence of a disease based on a limited number of tests or predictive factors.- One of the mathematical methods used to formulate prediction rules is a logistic regression analysis of patient data. - The discriminatory power of a model is visualizable using box-whisker plots and ROC curves; calibration plots show the match between the predicted chance and the observed frequency of a disease. These graphs are used to assess whether a model adequately reproduces reality. - On publication of prediction rules it is important that the regression function is written out and that the chances of a disease on the basis of diagnostic scores are displayed in a histogram. - For the practical significance of the model, it is also important to know how often the predicted low, medium or high probabilities of a disease do actually occur in comparison with the advance chance of occurrence

Prevention of alcohol problems in Dutch youth - Missed opportunities and ew developments

Contains fulltext : 72915.pdf (publisher's version ) (Closed access)Binge drinking among young people is a problem in the Netherlands. This article outlines the current Dutch approach to alcohol prevention in this target group. It is argued that well-enforced evidence-based control measures are lacking despite renewed political interest in them. Politicians often favor alcohol education, but to increase the effectiveness of alcohol prevention, a combined approach of policy measures, enforcement, and education is needed. Translation of education and policy-based measures is discussed