Attribut:Beschreibung-EN

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Simple scripts for data analysis (e.g. in R, Python, Matlab)  +
The most important statistical measurements for data evaluations  +
Different types of data and their importance for generating knowledge  +
Algorithm for searching and mapping sequences  +
Sequencing methods, comparative genomics  +
Gene expression and protein synthesis  +
Genome development and implication  +
Cell components and processes  +
The most important disease maps and atlases  +
Basic modelling possibilities for biomedical questions (logical models, mathematical models, statistical models)  +
Simulation models  +
The individual steps of evidence-based medicine  +
Personal application software for documentation, personal communication incl. internet access as well as the basics of scientific work and basic statistics  +
Library classification and systematic health-related terminologies and their coding, methods of literature research, automatic indexing, research methods and research paradigms (information literacy).  +
An effective search for adequate scientific evidence  +
Medical literature research, the research syntax and quality of knowledge sources, and the use of controlled vocabularies for literature research.  +
The evaluation of sources and research results  +
Evaluation and assessment of information systems, including study design, selection and triangulation of methods (quantitative and qualitative), evaluation of outcome and impact, economic evaluation, unintended consequences, systematic reviews and meta-analyses, evidence-based health informatics.  +
The importance of database searches (e.g. recall, precision and other metrics)  +
Classification of guideline development process and levels of evidence  +