NNEK16000U Applied Biostatistics in Nutrition and Physiology

Focus will be on standard descriptive methods and parametric statistical models, especially analysis of variance and regression models including models for repeated measurements. It will be a modern approach towards the use of statistical methods, reflecting current practice in the research activities at NEXS w.r.t. publication of scientific articles and reports. Construction of appropriate models will be a key theme, i.e., how to translate study designs into suitable model specifications. Estimation of relevant parameters such as means, differences, and slope coefficients will be covered. In particular, adjustment for covariates and confounders as well as structural effects due to the study design will also be covered. Assessment of uncertainty of estimates in the different models by means of confidence intervals and standard errors and, also, related approaches to hypothesis testing using p-values will also be an integral part of the course. Statistical methods will mainly be introduced and discussed through reading of selected parts of publications and other relevant literature. The course will be project-based such that participants mainly will work on own data in project groups. The statistical environment R will be used throughout the course.