What do statisticians do all day?

Well, for the past two days, we’ve been listening to our MSc and BSc(Hons) students presenting the results of their research projects.  Here’s a list of titles:

Applying Propensity Scores to Compare Hospital Performance

Order book modelling on the New York Stock Exchange

What Foods are Safe to Eat?

In a Genetic Haystack: Exploring Sparse Microarray Time-Series

Network Meta-Analysis: A Simulation Study and Update

Genome-wide Heterozygosity and Successful Aging in the Cardiovascular Health Study Cohort

Dynamic Advertising Modelling by Implementing Bayesian Forecasting

Occupation-based Socioeconomic Scores: A Path Analysis Approach

Dotcharts in R – What, Whoa and Why

Simulation and Estimation of Stochastic Differential Equations

In or Out? Examining Whether Macroeconomic Variables Help Predict the NZ/US Exchange Rate

Bayesian Estimation of Variance in the Binomial Option Pricing Model

The Introductory Statistics Course: Student Attitudes and Perceived Relevancy

Using Principal Components for the Evaluation Likelihood Ratios for Forensic Trace Evidence

Assessing Genetic Relatedness for Invasive Rats

Hospital Restructuring: was it Harming Us?

Reproducible Research – The Report with Nothing to Hide

Choosing a Transformation or Distance Measure in Ecology: What Do You Throw Away?

Multivariate Extension of ATRIMS Using Copulas with an Application to the Stochastic Volatility Model

A Comparison of Lenth’s Method and APC for the Analysis of Unreplicated Experiments

Constructing Confidence Regions for the Stationary Points of Second Order Response Surfaces

Stepped Wedge Randomised Controlled Trial Design: A Systematic Review and a Case Study

Discrete Choice Modelling with VGAM

Today, the department is running an all-day workshop for high-school teachers.