We have mapped all the relevant training already happening in our partner organisations.
There are 20 courses from "University of Bristol"
Overview of epidemiological principles that are relevant to epigenetic studies. Gain knowledge, skills and code necessary to design, execute and interpret population-based epigenetic studies.
Learn how to implement parametric survival models, use flexible parametric survival models, and the concept of competing risks in modelling time-to-event data.
Introduction to methods for analysing longitudinal/repeated continuous data, with a focus on methods for analysing individual trajectories over time.
Learn to define causation in biomedical research, describe methods to make causal inferences in epidemiology and health services research, and demonstrate the practical application of these methods.
Understand the essentials of designing, conducting and analysing pragmatic randomised controlled trials (RCTs). Examine RCTs evaluating health and public health interventions in primary, secondary and community settings with individual and cluster randomised designs.
Gain a grounding in a wide range of cutting-edge genetic epidemiological methods for complex traits.
Gain a more advanced knowledge of Stata 15 statistical software package.
Gain an understanding of the theoretical frameworks which guide economic evaluation; knowledge of the methods used to measure and value costs, health and broader outcomes of care; an overview of trials and modelling techniques used to evaluate efficiency; brief practical experience of analysing cost and outcomes data; critical appraisal skills for assessing of published economic evaluations and insight into the role of economic evidence in local and national (i.e. NICE) decision making in England.
Ground yourself in epidemiological study designs and measures of disease risk used in aetiological epidemiology and health services research. Gain practical experience in study design and the appraisal of epidemiological literature.
Understand the statistical principles behind, and the application of, univariable and multivariable linear and logistic regression in medical, epidemiological and health services research.