Quantitative evaluation of non-randomised interventions: an introductory course
Are you interested in assessing the impact of clinical, social and public health interventions? Have you been thinking about or are evaluating interventions already implemented in the health and social care setting? Would you like to know more about quantitative analytical approaches to evaluate interventions as natural experiments?
This introductory course has been developed by the ARC West health applied data science team and is designed for people working in the health and care system, whether delivering or commissioning services, who are interested in quantitatively evaluating clinical, social or public health interventions.
Course topics will include:
Introduction to natural experiment studies
Different analytical approaches to evaluating interventions as natural experiments
Practical sessions on how to analyse natural experiment studies
The course will be delivered face-to-face in separate morning and afternoon sessions. The morning session will comprise a basic introduction of natural and quasi experiment studies. The afternoon session will cover more detailed look on three of the most common analytical approaches: interrupted time series, controlled interrupted time series and difference-in-difference, and will include computer practical sessions using both R and Stata. Participants can choose to attend only the morning session or both sessions. Completion of the introductory morning session is a prerequisite for participation in the afternoon session.