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Consultant Profile

Gemma Hodgson

Areas of Consultancy:
Bayesian methods
Censuses and surveys
Clinical trials
Design and analysis of experiments
Exploratory data analysis
Forecasting
GLMs and other non-linear models
Graphics
Multivariate analysis
Probability
Reliability
Sampling
Statistical inference

Profile

Qi Statistics Ltd offers a full statistical consultancy and training service to research and industry. Statistical thinking and quantitative reasoning have become pervasive in business, dramatically changing the way we view our customers, our products and our processes. Whether you are a sensory or consumer scientist, a manufacturing engineer or a business manager, we have a range of services to help demystify this often challenging subject. We are very flexible and tailor all training and consultancy to fit the individual client, as no one solution fits all. We focus on applying and understand statistics, to equip you once you leave our side, rather than baffling you with endless equations and unnecessary facts.

Background

I have worked as a statistician, project manager, trainer and business consultant for over 20 years across a wide variety of projects within both large and small multidisciplinary teams. I started my career in 1997 at Pfizer Ltd, before joining Takeda Global R&D as a principal statistician in 2006. My business background and statistical skills combined with my practical explanations and examples have enabled me to assist non-statisticians wanting to maximise information for competitive advantage from their data.

Specialisms

Statistics Training, Analysis & Consulting in the sensory & consumer, manufacturing and pharmaceutical industries. Some typical examples could be: Understanding how to design experiments to make them efficient and increase chances of finding an answer to your problem; A hands on course using a stats software package in fundamental statistical concepts (e.g. variance, confidence intervals, p-values, hypothesis testing, analysis of variance (ANOVA), correlation and regression) to help you get started; Principal Components Analysis (PCA) to understand how variables are linked; Partial Least Squares (PLS) Regression to link sensory panel data and consumer liking or intent to purchase data...and many more! As a small business we do not have the red tape and constricting procedures that some big companies bring so we are able to be completely flexible - no problem too big or small.

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