Experimental Design and Data Analysis / Scientific Paper Writing – Bangkok 2011
Title: Experimental Design & Data Analysis / Scientific Paper Writing – Bangkok 2011
Registration: Registration is Closed
Type: Workshop
Venue: King Mongkut’s University of Technology Thonburi (Bangkuntian campus)
Dates: 5 March 2011 Scientific Paper Writing
6-11 March 2011 Experimental Design and Data Analysis (6 days)
Organiser: Association for Tropical Biology & Conservation Asia-Pacific chapter and King Mongkut’s University of Technology Thonburi, Thailand
Sponsors: Earth Systems Science Program
Fees: Based on participant’s salary country (not home country). 2500 THB (low income countries); 5000 THB (high income countries). Unfortunately no travel grants will be available.
Fee includes transport to the Bangkuntian campus and accommodation (check-in on 4 March, check-out on 11 March). Food is not included but can be purchased at the University cafeteria for about 40 THB per meal.
About: In association with the 2011 annual conference of the Association for Tropical Biology & Conservation, Asia-Pacific Chapter, two workshops will be held in conjunction. The Scientific Paper Writing workshop will cover the process of preparing and submitting a scientific paper, how to prepare a good poster, ethical questions surrounding the publication “gameâ€, and the review process. It is targeted at young scientists with limited previous experience of publishing scientific papers.
The Experimental Design and Data Analysis course is targeted at post-graduate level participants who have received only very basic training in statistics. It will introduce basic concepts in experimental design and sampling and how to analyse data using traditional modeling methods, including ANOVA and regression. Practicals will be conducted in R – a free opensource statistical computing program – and will provide an introduction to its use. Participants are required to bring their own laptop computers.
Please see the detailed schedule for the Experimental Design and Data Analysis below.
Day 1: Sunday 6 Mar
08:30 – 09:30            Introduction to the course, hypothesis testing using T-test as an example.
09:30 – 10:30            ANOVA and regression
10:30 – 11:00            – Break –
11:00 – 12:00           Practical: ANOVA and regression in Excel
12:00 – 13:00            – Lunch Break –
13:00 – 14:00           Practical: ANOVA and regression in Excel ctd., revision/questions if necess.
14:00 – 15:00           Multifactor analysis (multiple regression, multifactor ANOVA)
15:00 – 15:30           – Break –
15:30 – 17:30            Practical: Introduction to R. ANOVA and regression in R.
Day 2: Monday 7 Mar
08:30 – 09:30            Assumptions of parametric tests
09:30 – 10:30            Data transformations
10:30 – 11:00            – Break –
11:00 – 12:00           Non-parametric tests
12:00 – 13:00            – Lunch Break –
13:00 – 15:00           Practical: Non-parametric rank tests in R
15:00 – 15:30           – Break –
15:30 – 17:30           Practical: Graphics in R
Day 3: Tuesday 8 Mar
08:30 – 09:30            GLMs (same slopes models) and dummy variables
09:30 – 10:30            GLMs (separate slopes models)
10:30 – 11:00            – Break –
11:00 – 12:00           Model simplification
12:00 – 13:00            – Lunch Break –
13:00 – 15:00           Practical: Multifactor models and GLM in R
15:00 – 15:30           – Break –
15:30 – 16:30           Sampling, experimental design
16:30 – 17:30           Practical: Sampling and power analysis in R
Day 4: Wednesday 9 Mar
08:30 – 09:30            Experimental design
09:30 – 10:30            Single factor designs
10:30 – 11:00            – Break –
11:00 – 12:00           Nested designs and variance component analysis
12:00 – 13:00            – Lunch Break –
13:00 – 15:00           Discussion: methodological and analysis problems with published papers
15:00 – 15:30           – Break –
15:30 – 17:30           Practical: Single factor designs in R
Day 5: Thursday 10 Mar
08:30 – 09:30            Multifactor designs
09:30 – 10:30            Multifactor designs including time
10:30 – 11:00            – Break –
11:00 – 12:00           Discussion: Dealing with background variation
12:00 – 13:00            – Lunch Break –
13:00 – 15:00           Practical: Multifactor designs
15:00 – 15:30           – Break –
15:30 – 16:30           Intro to Generalised linear models
16:30 – 17:30           Poisson regression and Contingency tables
Day 6: Friday 11 Mar
08:30 – 09:30            Practical: Data collection for contingency tables
09:30 – 10:30            Practical: Analysis of contingency tables
10:30 – 11:00            – Break –
11:00 – 12:00           Binomial ANOVA and logistic regression
12:00 – 13:00            – Lunch Break –
13:00 – 15:00           Practical: Poisson and Binomial Generalised Linear Models in R
15:00 – 15:30           – Break –
15:30 – 17:30           Revision, questions etc.
