A joint short course organised by the IMB Career Advantage and AIBN Student Association.

Which are the basic statistical concepts that bio-researchers should know to embrace the full potential of their experimental data? What are the common pitfalls in statistical analysis? Which test is more appropriate to test a biological hypothesis and under which assumptions? With major high impact factor journals such as Science, Nature and PLOS significantly tightening their rules it is becoming essential to plan statistical analysis before even picking up a pipette.

With a focus on real world examples, notes and resources you can take home, and quick exercises to test your understanding of the material, this short course will cover many of the essential elements of bio-statistics and problems that commonly arise in analysis that originate in the lab.

The course will include:

  • course and training material
  • short exercises
  • online resources.

Who should attend?

This series of lectures is suitable for students and researchers in the field of molecular biology and biomedical research with no previous experience in the analysis biological / biomedical data. It does not assume any familiarity with any statistical concept.

Dates and venues

Mondays 10am - 12noon

The venues will alternate between IMB and AIBN:

  • IMB will host sessions on June 15, June 29, July 27 in their large seminar room on level 3 of the Queensland Bioscience Precinct (Building 80) (view map)
  • AIBN will host sessions on July 13, Aug 3, Aug 24 in their seminar room on level 1 (view map)

PLEASE NOTE: Registration on the links provided below is essential in order to access the course material prior to each lecture.

1. Monday June 15 at IMB - Summarizing and presenting data
This lecture will discuss how to organize and present summaries of data using descriptive statistics (measures of central tendency and spread) and key graphical plots (histograms, density plots and boxplots) as well as how to describe or measure relationships between nominal or ordinal variables.

"The seminar was super useful,[…] straight to the point, very well done. I am looking forward to the other sessions!"
- 2015 workshop participant. 

Please download and print the lecture material and exercises before attending this course. For seminar attendees, you can download the 15 June seminar slides and exercise answers here.
 

2. Monday June 29 at IMB - Making inferences and hypothesis testing
This lecture will give a short introduction to probabilities and lay out the key concepts of hypothesis testing: how do we infer (generalize) from a sample to a larger population, what are the main probability distributions used in hypothesis testing, what is an estimate and what is the difference between standard deviation and standard error.

Please download and print the lecture material and exercises before attending this course.

For seminar attendees, you can download the 29 June seminar slides and exercise answers here.

3. Monday July 13 at AIBN – Introduction to experimental design
Our guest lecturer Dr Alec Zwart (CSIRO) will cover some of the basic elements of experimental design in general, and discuss some key issues and examples that arise in the areas of genetics/genomics and high throughput data.
REGISTER HERE

Please download and print the lecture material and exercises here before attending this course. 

For seminar attendees, you can download the 13 July introduction seminar slides, Alec Swart's seminar slides, and exercise answers here.

4. Monday July 27 at IMB - Testing the means in two independent groups
In this lecture we will examine how to test differences between two independent groups, using t-, F-, non parametric Wilcoxon rank sum, chi-square, Fisher’s exact tests.
REGISTER HERE

Please download and print the lecture material and exercises before attending this course.

For seminar attendees, you can download the 27 July seminar slides and exercise answers here.
  

5. Monday Aug 3 at AIBN - Testing the means in more than 2 independent groups
In this lecture we will introduce the ANalysis Of VAriance (ANOVA), which post-hoc tests to use and explain why we need to correct for multiple testing.
REGISTER HERE

Please download and print the lecture material and exercises before attending this course.

For seminar attendees, you can download the 3 Aug seminar slides and exercise answers here.

6. Monday Aug 24 at AIBN - Introduction to data mining / data exploration for large data sets
We will cover clustering analysis (hierarchical clustering, Principal Component Analysis) and some Machine Learning techniques to extract insightful patterns in large biological data set.
REGISTER HERE

Please download and print the lecture material and exercises before attending this course.

For seminar attendees, you can download the 24 Aug seminar slides and exercise answers here.

View the full 2015 course material here.

About the presenter

Dr Kim-Anh Lê Cao (University of Queensland Diamantina Institute) was awarded her PhD in 2008 at Université de Toulouse, France. She then moved to Australia as a postdoctoral fellow at the University of Queensland.

She is now working in the University of Queensland Diamantina Institute as an NHMRC Career Research Fellow, where she continues developing statistical approaches for the analysis and the integration of large data sets. Her research interests are multidisciplinary, focusing on mathematical statistics characterization of molecular biological systems, and developing sound statistical frameworks to address biological questions arising from frontier molecular technologies.

Since working at UQ, she has been teaching Statistics as a ResTeach recipient to undergraduate and postgraduate students, and recently for the UQ Bioinformatics Master’s program.

Course Contacts

Dr Kim-Anh Lê Cao (UQDI) k.lecao@uq.edu.au
Ms Jessica Shwaber (AIBN) j.schwaber@uq.edu.au
Dr Nick Hamilton (IMB) n.hamilton@imb.uq.edu.au

Download the official course poster here.

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