Duration: 2 days. (3+3 hours per day)
Certification Exam (Option): 1 hour
Training methods: Formal lectures, GenStat based practical sessions and group discussions
Standard courses contents:
- Introduction, exploratory data analysis (EDA),
- Navigating the Genstat system
- Importing the manipulating data
- Visualising data
- Basic concepts of statistical inference
- T test (independend, paired)
- Chi square Test
- Pearson correlation or Spearman correlation
- Non-parametric test
- Regression
- Linear regression
- Nonlinear models
- Generalized linear models
- ANOVA and experiment design
- One and two Way ANOVA
- Blocking and Treatment Structure in experiment design
- Design and sample size
- Unbalanced ANOVA
- REML and multi-level models
- Linear mixed models
- Meta analysis
- Spatial analysis
- Repeated measurements
- Multivariate analysis
- Principal components analysis
- Canonical variates analysis
- Cluster analysis
- QTL analysis
- Single traits and trials QTL mapping analysis
- Multiple trials and traits QTL mapping analysis
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