Research methods

Developing world-leading research methods

The focus of this theme is to ensure we are developing and using methods relevant to the other four themes.

This theme leverages our expertise in developing and applying, research methods and methodologies  including the following:

• Clinical Trials and Evaluation
• Implementation Science
• Innovative qualitative approaches (e.g. ethnography, video-reflexive ethnography, narrative and visual methods)
• Intervention Development
• Behavioural science
• Co-design methodologies
• Health data science

Including data wrangling, data curation, coding & metadata libraries, data linkage methods

• Genomics applied to diverse populations and clinical care
• Applied statistics for observational data

Including causal inference, emulating clinical trials, time series analyses, measuring inequality and changes in inequality, cluster and multilevel methods, machine learning methods

• Evidence synthesis

Including living systematic reviews, realist reviews,

What works / Equity evidence centre, meta-ethnography, critical interpretive synthesis

• Digital methods

Including digital health interventions, social media, on-line health communities, patient collected or reported outcomes and social network analysis

We share problems and teach on these methods through a range of courses and networks across WIPH and more widely, including:

• Thinking between the lines group
• Health data science research seminar series
• Electronic health records working group
• R user group
• Curiosity workshop
• Complexity and complex interventions journal club

Staff

Rohini Mathur  |  Ratna Sohanpal  |  Stephen Hibbs  |  Duncan Reynolds

Stephanie Taylor  |  Deborah Swinglehurst  |  Liz Steed  |  Anna De Simoni

Jianhua Wu  |  Lucie Hogger  |  Geogios Karampatakis  |  Natalia Concha

| Nina Fudge |  Rebecca Muir