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Provided by: Creascience Advanced Experimental DesignsDesign of Experiments |
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Training
Provided by Creascience
This course covers the fundamental concepts in statistics in a non-technical and applied way.
This session focuses on the design and the analysis of more complex experimental designs than those seen in the Introduction to the Design of Experiments course. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints, repeated measures, etc. Their design and analysis will be discussed.
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Advanced Experimental Designs
- Accounting for variability in experiments
- Rewiew of statistical inference and the logic behind statistical testing: confidence intervals, standard errors and pvalues
- Accounting for variability in the experimental units
- Review of factorial designs
- Complete block designs
- Balanced incomplete block designs
- Latin square designs
- Designs with covariates
- Repeated measures designs
- Split-Plot designs
- ANOVA for all those designs
- Using real data, interpretation of the results
About The Training Provider: Creascience
Creascience - Creascience offers an wide array of training sessions in statistics aimed primarily at non-statisticians. We also provide specific training courses on statistical methods aimed at statisticians. People attend our training sessions to gain basic knowledge or to deepen some specific aspects. The training sessions are offered both in our offices and on-site, depending on the client s needs. We...
