Back to Browse

4. Avoiding Bias

733 views
May 10, 2016
7:24

Introduction to Experimental Design Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, January 2016. *********************************************** These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute. *********************************************** *Recommended YouTube playback settings for the best viewing experience: 1080p HD ************************************************ Content: Bias -Bias = systematic inaccuracy in a measurement in one direction ---Eg Shared environment: -Animals at Farm 1 have Treatment A and at Farm 2 have Treatment B ---Farm conditions affect measurements -Animals in Cage 1 have Treatment A and in Cage 2 have Treatment B ---Cage conditions (eg daylight, temperature) affect measurements Bias - examples -Bias - examples: Shared environment -Does temperature affect stem cell development? ---Observations on individual tissues are not independent -Animals allocated to interventions haphazardly ---Picking mice one-by-one from container ---Giving first 10 treatment A and second 10 treatment B -Researcher influenced by prior knowledge of an intervention ---Eg scoring animal behaviour

Download

1 formats

Video Formats

360pmp49.4 MB

Right-click 'Download' and select 'Save Link As' if the file opens in a new tab.

4. Avoiding Bias | NatokHD