How to define hypotheses and set a biologically relevant effect size
Experimental design Landing page
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How to account for animals with different strains, ages or sexes in the design and analysis of an in vivo experiment
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How to identify independent variables of interest and nuisance variables and account for them in the design and the analysis of an in vivo experiment
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How to define the experimental groups and calculate the sample size needed to obtain reliable results
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How to define criteria for including or excluding animals, experimental units, samples or data points from an experiment
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Why randomisation needs to be used to allocate animals to experimental groups and how to generate a randomisation sequence
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How blinding or masking makes your findings more robust, when to use it and how to create a blinding plan
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Key considerations for deciding what to measure in an in vivo experiment and selecting the primary outcome measure
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How to choose a method of analysis, and test and transform data to meet the assumptions of parametric tests