Monthly Seminars

Informal, general interest seminars on topics in statistical data analysis

 

 

2019 - March

What can Data Science do for you?

Ever wonder how investment companies improve investment returns? What tools manufacturers use to improve their productivity? How e-commerce companies can increase their revenue? (Spoiler alert: they use Data Science!)

This is an introductory seminar on Data Science from a Computer Science perspective. Data science is a multi-disciplinary field that requires skills from mathematics, computer science and business. I will cover topics including:

  • The basics of Data Science
  • How to apply Data Science to your projects and
  • Requirements and challenges when using Data Science

The talk will be about 30 minutes long

Speaker: Raymond Wong, Stats Central and Associate Professor at the School of Computer Science and Engineering. Raymond's research interests include: big data management, XML and semi-structured data, data mining and analytics, mobile technologies and service computing

Date and Time:  Tuesday, 12th March 2019, 3.00 to 4.00 pm

Location:  NewSouth Global Theatre, Webster Building (G14), Room 127 | UNSW Kensington Campus

Slides for the presentation are HERE

2019 - February

Analysis of Pretest-Posttest Data: It’s not as straightforward as you might think!

Posted 30 January 2019

Facility: Stats Central

Experimental designs comparing group differences in change over two time points are common in many areas of research. A pre-post design is a simple way to test the effect of an intervention on mean outcomes, but the statistical analysis does pose some questions for the researcher. This talk will outline some of the analysis options available to analyse two-group, pre-post data, including repeated measures analysis of variance, analysis of covariance, change scores and mixed models.

The talk will be about 30 minutes long and will be followed by (free!) afternoon tea and time for discussion.

Speaker: Nancy Briggs, Senior Statistical Consultant and Manager, Stats Central. Nancy's research interests include: the application of latent variable models, multilevel models and related models to problems in public health, medical research and behavioural sciences; Bayesian statistics; clinical trials.

Date and Time:  Thursday, 14th February 2019, 3.00 to 4.00 pm

Location:  Ainsworth Building (J17), Room G03 | UNSW Kensington Campus

Important! Please register by Thursday, 14th February, 10.00 am, so we can cater properly for afternoon tea!

Slides for the presentation are HERE

 

2018 - November

Which Stats Software Should I Use?

Anyone who has to do some stats needs to first make the decision about what software to use - SPSS?  R?  Stata?  In this short talk we will work through some of the things to consider in choosing a package, and some of the recent trends in package use in research and in industry.

The talk will be about 30 minutes long and will be followed by (free!) afternoon tea and time for discussion.

Speaker: David Warton, Director of Stats Central, UNSW (Professor of statistics specialising at its interface with ecology. He has been wondering what stats package to use for some time and has usually just followed the advice of people who sound like they know what they are talking about.)

Date and Time:  Thursday, 8th November 2018 - 3.00 pm to 4.00 pm

Location:  Red Centre Theatre (G001), Red Centre Building (K-H13)

 

2018 - October

Introductory Meta-Analysis

Systematic reviews and meta-analyses are appearing increasingly often. We will discuss systematic reviews and data collection and also effect sizes, heterogeneity and publication bias. Fixed and random effects meta-analyses will also be compared. We will include examples of analyses, forest plots, funnel plots and interpretation of results.

The talk will be about 30 minutes long and will be followed by (free!) afternoon tea and time for discussion.

Speaker: Zhixin Liu, Stats Central, UNSW

Date and Time:  Thursday, 11th October 2018 - 3.00 pm to 4.00 pm

Location:  Macauley Theatre (1027), UNSW Quadrangle Building (K-E15)

 

2018 - August

Regression to the mean and how to deal with it

Despite being “transparent to the point of being obvious”, the phenomenon of regression to the mean – first recognised in the 1800s – is still catching out researchers. We’ll look at what regression to the mean is, how to identify it, how you can reduce it at the design stage and statistical methods you can use to account for it at the analysis stage of your pre-post experiment.

 
The talk will be about 30 minutes long and will be followed by (free!) afternoon tea and time for discussion.  Please register by Thursday, 9th August, 10.00 am, so we can cater properly for afternoon tea!
 
Speaker:  Mark Donoghoe, Stats Central, UNSW
 
Date and Time:  Thursday, 9th August 2018, 3:00 pm to 4:00 pm
 
Location:  Central Lecture Block, Theatre 3

2018 - July

Analysing small data sets - a mini overview

Analysing data sets with a small number of observations can be a challenge! This seminar will touch on some of the problems that arise in these analyses and outline a number of analysis methods, together with their limitations. The general types of method we will talk about are parametric (e.g. t test, ANOVA), non-parametric (e.g. Mann-Whitney, Kruskal-Wallis) and randomisation methods.

The talk will be about 30 minutes long and will be followed by (free!) afternoon tea and time for discussion.  Please register by Thursday, 12th July, 10.00 am, so we can cater properly for afternoon tea!

Speaker:  Peter Geelan-Small, Stats Central
 
Date and Time:  Thursday, 12th July 2018, 3:00 pm to 4:00 pm
 
Location:  Civil Engineering Building (H20), Room G1
 
 

2018 - June

Intraclass Correlations - How to use them for reliability and why there are so many of them

Before a measure can be used for research or application purposes, the measure itself must be shown to be replicable across measurements.  Intraclass correlations (ICC) are one way to assess reliability.  This seminar will discuss the calculation of ICCs, how to report the results and show why there are so many different versions.

The talk will be about 30 minutes long and will be followed by (free!) afternoon tea and time for discussion.  Please register by Thursday, 14th June, 10.00 am, so we can cater properly for afternoon tea!
 
Speaker: Nancy Briggs, Stats Central, UNSW
 
Date and Time:  Thursday, 14th June, 2018 - 3.00 pm to 4.00 pm
 
Location:  Central Lecture Block, Theatre 3
 
 
 
 

2018 - May

Four strategies for dealing with multiple comparisons

Multiple hypotheses may be generated by

  • multiple treatment arms;
  • heterogeneous treatment effects;
  • measuring multiple outcome variables.

In a hypothesis testing framework, using p < 0.05 as a criterion for declaring significance, it can be easy to get results that are significant by chance when many hypotheses are tested. This talk will discuss four things you can do when faced with multiple comparisons and will cover:

  1. the difference between controlling the family-wise error rate and the false discovery rate;
  2. the Bonferroni-Holm adjustment;
  3. the Benjamini-Hochberg adjustment;
  4. strategies for multiple outcome variables and strategies for multiple comparisons which are correlated.

The talk will be about 30 minutes long and will be followed by (free!) afternoon tea and time for informal discussion.

Speaker: Eve Slavich, Stats Central, UNSW

Date and Time:  Thursday, 10th May 2018 - 3.00 pm to 4.00 pm

Location:  Central Lecture Block, Theatre 4
 
Slides for the presentation are here.