We are advertising for researchers or researchers with strong background knowledge in statistics and/or economics, which are interested in evaluating the efficacy and comparative effects of management technology/services.
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| Regent Court, the hometown of SCHARR |
Reference number: UOS035218
Salary: 7th grade / 8th grade
Details: Full time and fixing period for 2 years
Deadline: Wednesday, November 30, 2022
Volvance and ATJ Can be found here.
Health and Related Research (Schaarr) tries to recruit early or central people. Strong background knowledge of statistics and/or weighing economics, preferably Causality, causal reasoning that is interested in causal reasoning, efficacy and comparison effect of treatment Technology/Service for joining the Health Economy and Detective Science (HEDS) section.
It is mainly provided while working with the Schaarr Knowedge Exchange (KE) team. Support for non -random research design and related analysis development Treatment technology or service evaluation. It also provides statistics and/or economics Support for multiple teams as part of other HEDS research and consulting projects. work In general, the evaluation of new therapeutic technologies or services within non -randomization studies. Design that focuses on the efficacy and/or comparison effect of treatment technology. These You can use the default data collection to support evaluation or rely on the existing ‘REALWORLD DATA’ (RWD) source.
You should be familiar with how to estimate the comparison effect using non -randomized data, such as the method described in detail in the NICE Technical Support Document. 17: https://www.sheffield.ac.uk/sites/defiles/2022-02/TSD17-dSu-observational-data-fdf
You will be recommended to develop your own method of research. Complementary to people in HEDS and contributes to the master’s level of education and supervision.
