Training in statistical analysis for in vivo and in vitro researchers

This course is designed to support life science researchers to select the most appropriate method of statistical analysis for their experimental design and to report results in a rigorous and reproducible way.

We believe that responsible, rigorous and reproducible research does not just happen. It requires:

  1.  an awareness and understanding of contemporary best practice standards in all aspects of research practice (including ethics, integrity, experimental design, methodology, statistical analysis and research dissemination).
  2. the ability to recognise what 'best practice' means for a given research project at a given moment of time (note - this will change throughout an individuals research career).
  3. the confidence and competence to implement best practice when it matters i.e when planning, designing, conducting, analysing and disseminating their research.


Our Statistical Analysis for In Vivo & In Vitro Scientists course is aimed at individuals at any stage in their career. No prior knowledge of statistical analysis methods is required, but some knowledge of good experimental design is assumed.


Having completed this course individuals will be able to:

  • identify sources of variation, and understand how to minimise the impact it can have.
  • understand how a scientific question maps to statistical questions and combines with the experimental design to influence the choice of statistical analysis methods.
  • visualise their data and make the most appropriate choice of plot to explore their data.
  • interpret summaries for location and dispersion, and what features of data influence the choice of appropriate summary statistics.
  • discuss data transformation methods, why they may be necessary, and which are the most useful.
  • identify and deal with outliers, plus use measures of precision.
  • compare two groups of data and assess significance using a t-test, plus understand p-values.
  • identify and interpret ANOVA, ANCOVA and other statistical tests including non-parametric tests and other simple statistical tests for more complex data types.
  • link the results of statistical analysis to the study purpose when reporting their research and use confidence intervals to better inform decision making.


For a more detailed description download a copy of the Online Statistical analysis for In Vivo Scientists Course Overview. You can also watch course tutor Katrina Gore as she shares her “Statistical guide to developing robust preclinical in vitro and in vivo assays” in this FREE Responsible Research Webinar.


Course Timetable

9:30am-12:30 noon (GMT/BST), Monday – Session 1: Basics of visualisation and hypothesis testing
9:30am-12:30 noon (GMT/BST) Tuesday – Session 2: Estimation & Precision, Significance tests and Basics of ANOVA
9:30am-12:30 noon (GMT/BST) Wednesday – Session 3: Extending ANOVA and reporting results


Registration fee: 

£300 per person. This fee includes:

  • 3 LIVE online interactive training sessions - to deliver the theoretical and practical knowledge necessary to analyse in vivo and in vitro experiments, plus report them in a robust and reproducible way;
  • Direct access to Katrina Gore for the duration of the course – to discuss any practical challenges/barriers to implementing your learning;
  • Copies of all course content and handouts – all course material is accessible so you can refer back to it whenever you wish;
  • Invitation to join a private LinkedIn group – a community for information sharing, tools, resources and collaboration / discussion.


Course dates

LIVE online course:

1st-3rd November 2021 – REGISTRATION CLOSED.

31st January-2nd February 2022 - REGISTRATION CLOSED.

9th-11th May 2022 - REGISTRATION CLOSED.

19th-21st September 2022 - BOOK NOW (NOTE- registration closes Friday 9th September)


Why book our courses?

100% of online training participant's surveyed said they would recommend their course to others.

Our courses are available LIVE or ON-DEMAND so you can access them when you need them, wherever in the world you are.

All our courses have strictly limited numbers so that we can provide every participant with 1:1 support.

Our expert tutors are passionate about helping individuals implement best practice and empowering culture change.


Subscribe Now

To be the first to receive discount offers plus information regarding future course dates and FREE webinar events via email.



Title Start Time Total Duration To Register
Statistical Analysis for In Vivo and In Vitro Scientists Course                   (1st - 3rd November 2021) 09:30am GMT 9 hours Closed
Statistical Analysis for In Vivo and In Vitro Scientists Course                  (31st January - 2nd February 2022) 09:30am GMT 9 hours Closed
Statistical Analysis for In Vivo and In Vitro Scientists Course                     (9th-11th May 2022) 09:30am GMT 9 Hours Closed
Statistical Analysis for In Vivo and In Vitro Scientists Course             (19th-21st Sept 2022) Registration closes Friday 9th Sept. 09:30am GMT 9 Hours Book Now

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