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Wolfson Institute of Population Health

Methodological Support and Resource

Research Support Services (RSS)

The RSS provides free and confidential advice to develop funding applications within the remit of the NIHR, including clinical, applied health and social care research, and post-award advice to award holders. This support includes pre and post award advice from methodologists, including statisticians, qualitative researchers, health economists, social scientists, behavioural scientists, clinical trialists and others with expertise in research designs, approaches and methods of analysis. Click here for more information

 

National Centre for Research Methods

This external Centre offers diverse online and London-based training in both qualitative and quantitative methods, and in some cases quite specialised courses. They also offer bursaries to research staff (not PhD students). Click here for more information

Online Forums

Stata YouTube

The Stata YouTube channel has videos suited for beginners learning Stata as well as for experienced users just looking for a quick reference. The channel has over 100 videos to guide you through Stata. Created and narrated by Chuck Huber, the videos are concise and easy to follow. Click here for the YouTube channel

NVivo various

This free training (available to QM staff via Linkedin learning) will help develop essential NVivo skills: click here to access 

Each research project is distinctive; how you organize and analyze the material hinges on your methodology, data, and research design. Click here for guidance on the best approach

If you have funds for training, click this link to view details of a paid course which has also be recommended

Other various

Structural Equation Modelling (SEM). Click here for free CenterStat training

Multi Level Modelling (MLM). Click here for free online materials 

QMUL Academy

The Academy offers training and development for all staff, and have specialised offerings for postdocs. Click here for information 

WIPH resources

Interactive Tutorials from Adam Brentnall

Research Methods online course ( Celeste Damiani, Adam Brentnall, Emma Atapka, Jon Bestwick and Alastair Noyce)

This is a series of videos which provide introduction to research methods. By the end of the course, you will be able to interpret statistics and understand the applications of the different study designs. Click here for recordings

  • Module I: Fundamentals of Statistics
  • Module II: Interpreting statistics – hypothesis testing
  • Example run through
  • Module III: Study design
  • Module IV: Statistical analysis Module
  • V: Systematic review and meta-analysis

QMUL Clinical Practice Research Datalink (CPRD)

Queen Mary now has a Multi Study Licence to access data from CPRD. The Multi Study Licence enables Queen Mary staff and PhD students to access CPRD data for approved studies at a reduced cost, supporting the faculty ambition to embed health data science at the heart of Medicine and Dentistry. Barts Charity will support the licence until 2027 as part of the Precision Health: Population Health Data Science research programme, jointly led by the Clinical Effectiveness Group in WIPH, and Barts Cancer Institute. 

What is CPRD?
CPRD is a longitudinal dataset representative of the UK population. It contains data from primary care health records which can be linked to a range of other health-related data, including Hospital Episode Statistics. The dataset includes 60 million patients, of which 18 million are currently registered, and 25 per cent have at least 20 years of follow-up. More information is available on the Clinical Effectiveness Group website.

How do I access data via the Multi Study Licence?
For a step-by-step guide to accessing CPRD data via the Multi Study Licence, and information about fees, contact the team at: wiph-cprd@qmul.ac.uk. Once you know you want to proceed, please complete this Initial Enquiry form before/in parallel with submitting your application to CPRD. 

Please click here to view an information webinar given by the team in WIPH

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