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outcomes in the Netherlands and beyond. This data-driven project will use real-world data to examine how centralization affects equity in access, treatment patterns, and the integration of complex
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as PhD candidate or postdoc and advance knowledge in social policy and public health. Job description Social policy decisions are often informed by short-term outcomes. This results in ‘firefighting
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methods to administrative data. The exact topic will be chosen in coordination between the successful candidate and supervisors. The successful candidate will be part of the Strategy Economics group within
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. Traditionally, HTA has relied heavily on evidence from randomized controlled trials (RCTs) to understand treatment effects. However, real-world data is becoming increasingly important due to limited data
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of limited value. An eHTA requires building a health-economic model and scenario analyses, which will help determine the plausible range of health improvements and cost consequences. As more data become
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analysing qualitative data by content analysis, narrative interviews, shadowing, focus groups and vignettes among relevant stakeholders; Publish articles on the intersection of street-level decision-making
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Aarhus neighbourhoods, collecting and analysing qualitative data by content analysis, narrative interviews, shadowing, focus groups and vignettes among relevant stakeholders; Publish articles
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: The relation between climate change, health and work; The relation between health, income and the burden of COVID-19; You will conduct state-of-the-art statistical analyses using linked, population-level data
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& Technology, Data Law & Governance, LGBTQ+ Rights, Anti-Discrimination Law, EU Internal Market Law, Digitalisation. Co-supervisor: Dr. Masuma Shahid, supervisor: Prof. René Repasi Job requirements We