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Study Skills

Systematic Reviews: Statistics


In the Medical Library there are a large number of books about medical statistics. Use iDiscover (link opens in new window) to find these books and search for medical statistics. These are some which are available online with a Raven account, click on the link to access the iDiscover (link opens in new window) record.

Medical statistics from A-ZiDiscover link to Medical Statistics from A to Z (link opens in new window)

Medical Statistics from scratchiDiscover link to Medical Statistics from Scratch (link opens in new window)


If you are carrying out a statistical analysis as part of your systematic review you may find the following resources helpful.


  • All the university networked computers in the Medical Library have access to SPSS and R. To find details of upcoming training for University of Cambridge staff and students go to the training bookings website (link opens in new window) and search for courses on your required topic e.g. R.
  • Systematic Review Toolbox (link opens in new window) — this is a searchable toolbox with tools for each stage of the review including data extraction and meta-analysis.
  • Systematic Review Data Repository (link opens in new window) — “The Systematic Review Data Repository (SRDR) is a powerful and easy-to-use tool for the extraction and management of data for systematic review or meta-analysis. It is also an open and searchable archive of systematic reviews and their data.”

Training Video

The National Collaborating Centre for Methods and Tools have a number of videos available on their YouTube channel. They have produced a video titled Forest Plots – Understanding a meta-analysis in 5 minutes or less

Contact us

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Medical Library Team
University of Cambridge Medical Library
Box 111
School of Clinical Medicine
Cambridge Biomedical Campus
Subjects: Clinical Medicine

Support with statistics

The Statistics Clinic offers 'free statistical consulting services to all members of the broader research community within the University of Cambridge (and its affiliated institutes and hospitals). Eligible university members, including, but not limited to, faculty members, staff, postdocs and graduate students, are all welcome to use our service for advice at any stage of their research and data analysis.'

There is further information available on their website (link opens in new window), including details of their timetable of sessions (link opens in new window).

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