Department of Biostatistics & Health InformaticsDepartment of Biostatistics & Health InformaticsBHI Executive Education Programme: Causal Modelling and Evaluation 2024DescriptionCourse Aim: This course will review statistical designs and analyses that enable valid causal effect estimation, including Propensity Scoring and Mendelian Randomisation in observational studies, methods for dealing with non-compliance in trials, Mediation Analysis and some Quasi-experimental designs. We will focus on methods that are easily accessible to the applied researcher. Throughout methods will be motivated and demonstrated with real data examples from health research. The course will use Stata although analyses are easily translatable to other general-purpose statistical software packages.
BHI Executive Education Programme Natural Language Processing (NLP) 2024DescriptionCourse Aim: The course provides an introduction to the nature of medical text, and the technical and organisational challenges encountered when processing. The course will be based around practical examples and widely used NLP tools. The course aims to provide an introduction to the major techniques of natural language processing, and to provide participants with the skills to create their own NLP applications, using both rules based and statistical approaches. Methods will be introduced for extracting structured information from text, and for automatically classifying text, together with the selection of data for training and for evaluation. The course will discuss aspects of NLP that are specific to medical and biomedical texts, and develop a critical awareness of the issues associated with these texts. Participants will be equipped with the skills needed to analyse their own language processing problems, to design and test solutions, and to understand the limitations of those solutions.
The course will provide a practical instruction in the use of some widely used tools in NLP, including nltk (a Python toolkit).
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