Title: Experimental Design
1Experimental Design
- Dr MP Seed
- m.p.seed_at_qmul.ac.uk
2Objectives
- To be able to design an experiment taking into
account - Suitable controls
- Suitable comparisons
- Suitable statistics
- Error reduction
- Power
- If animals are used, benefit/suffering
- Final Data Presentation
3Science is a process of discovery through
hypothesis testing
4Formulation of Hypothesis or objective Experimenta
l Unit Control Variability Control of
bias Treatment choice (independent variables) End
Point choice (dependent variable) Choice of
design Sample size Statistical analysis
planning Pilot study Protocols and SOPs (Standard
Operating Procedures) Statistical
Analysis Interpretation Data Presentation Choice
of model
5Common Errors Lack of design Ad Hoc
approach Historical controls Clue variable
numbers Factorial Design unbalanced Experiment
size Blocking Genetic heterogeneity
(Inbred/outbred animals strains) Statistical
analysis errors Assay errors
6Statistics Parametric The Bloody Obvious
Test (t-Test) ANOVA Followed by Post Hoc test
Bonferroni (No more than 4 comparisons
unless corrected Neuman Keuls test (does
not give confidence limits) Tuley Kramer
(Gives confidence Limits) Comparison of groups
to one control- Dunnetts Test
7T-test Compares two groups Reduced reliability
with multiple comparisons Bonferroni also, use
correction factor or do not use for more than 4
comparisons.
8ANOVA Post Hoc Testing Bonferroni, Newman
Keuls, Tukey Kramer Parametric
9- Non Parametric ANOVA
- Kruskall Wallace (NOT Neuman Keuls as mentoned
in lecture!!) - Followed by Post Hoc test eg Dunns test
10Power analysis Effect size 10-20 Standard
deviation Significance level plt0.05 Power
level 80-90 Sample size unknown? Alternative
hypothesis 1 / 2 tailed?
11Useful Packages Graphpad Prizm
(Desktop) Minitab (Desktop) SPS Contain useful
guides
12Reading Material
13- Handout
- Basic Principles of the Design of Animal
Experiments. Festing et al, The Design of Animal
Experiments, Laboratory Anumal Handbooks No14
Chapter 1.