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Workshop outline

• Structure of an experiment: response, treatment factors, blocking factors.
• Introduction to the Statistical Model: Mean Structure (including Factorial models), Variance (blocking) structure.
• Planning your experiment: sample size estimation, identifying sources of variation, randomised complete Block, Split Plot, incomplete block designs.
• Data collection and Data Analysis: Exploring data (graphics and data summaries), review of data structures, linear models.
• Practice in fitting linear and generalised linear mixed models to data using R. Interpreting and assessing model assumptions.
• If time permits: Multiple hypothesis testing: false discovery rate and statistical models for genomic data analysis.

Please note that this workshop requires basic knowledge of R. If you are not sure about your skills please first come to Introduction to data processing in R.

ANU bioinformatics workshops: Linux, NCI, R and Statistics

The ANU Bioinformatics Consultancy (ABC), ANU Statistical Consulting Unit (SCU) and RSB Computational Biology and Bioinformatics Unit (CBBU) are organising a series of workshops for students and staff of ANU College of Medicine, Biology & Environment.

The workshops will take place during the Semester 1 Teaching Break and will start at 9:30am, finish at 4:30pm with lunch break 12:30-1:30pm. 

You will need to bring your laptop. We have a few laptops which we can lend for the course of the workshops. Please inquire ahead.

To sign up please email marcin.adamski@anu.edu.au by 17 March, specifying the workshop(s) you would like to attend.

The workshops are offered at no cost. The number of places is limited and we will be giving priority to Honours and PhD students and postdocs.