Alan Gordon
Statistical Consultant
- +44 7786 886220
Useful Links
How We Help
Have data but aren’t sure what it’s telling you? We can help. Edie Analytics provides clear, practical statistical and data‑science support to help you make evidence‑based decisions.
With more than 35 years of experience at the Agri‑Food and Biosciences Institute (AFBI), and over 160 peer‑reviewed publications, we bring deep expertise and proven credibility to every project.
Services Offered
Experimental Design
Designing robust experiments and surveys to ensure your data answers the right questions.
Data Analysis
Cleaning, analysing and interpreting your data to uncover meaningful insights.
Statistical Modelling
Applying appropriate statistical models - including linear, generalised linear and mixed models to help you understand relationships and make informed decisions.
Data Science & Machine Learning
Using modern data‑science techniques and machine‑learning methods to extract deeper value from your data.
Data Visualisation
Creating clear, compelling visualisations to communicate results effectively.
Training
Tailor‑made courses in R, Excel, statistics and data analysis to help you work confidently with your own data.
Excel & VBA Solutions
Developing customised Excel tools and automated workflows using Visual Basic for Applications to streamline data handling, reporting and analysis.
Our goal is to deliver high‑quality, affordable Statistical and Data Science consulting to private companies, public‑sector bodies, researchers and students. Contact us via email, mobile phone or LinkedIn for a free, no‑obligation initial consultation.
About Us
Edie Analytics is a UK‑based independent statistics and data‑science consultancy owned and managed by Alan Gordon. Although the business is new, it is built on more than 35 years of experience gained at AFBI, a leading public‑sector research organisation specialising in agri‑food science in Northern Ireland and beyond.
Consultant Experience
Alan holds a primary degree in Mathematics, Statistics and Operational Research from Queen’s University Belfast, and a Postgraduate Diploma in Computing and Information Systems from the University of Ulster.
Over 35 years at AFBI, Alan has worked on numerous research projects in agriculture, food science and veterinary epidemiology, contributing to 160+ peer‑reviewed publications and more than 130 conference papers.
To maintain up‑to‑date knowledge, Alan has completed short courses in areas such as Categorical Data Analysis, Survival Analysis, Multilevel Modelling, Repeated Measures, Meta‑Analysis, Big Data, Time Series, Data Visualisation and R programming.
His statistical experience includes ANOVA, generalised linear (mixed) models, survival analysis, multivariate analysis and modelling of zero‑inflated data. More recently, his work has expanded into data science, including data wrangling and machine learning in R.
Alan has extensive experience with software including Genstat, R (including Quarto and Shiny), Stata and the Microsoft Office Suite.
While his background is primarily Frequentist, he also offers solutions within the Bayesian framework where appropriate.
Alan has been a Fellow of the Royal Statistical Society for over 20 years and is committed to promoting evidence‑driven decision making in line with RSS principles.
He regularly attends conferences such as “Big Data Belfast”, “Shiny in Production” and “EARL” as part of his continuous professional development.
In addition, he has delivered numerous short courses and workshops in R, Genstat, Microsoft Office and statistics to AFBI colleagues.
Recent Peer Reviewed Publications
- The (poly)phenolic content and antioxidant capacity of apple varieties grown in or imported to Northern Ireland
- Comparison of the effects of production and processing parameters on the eating quality of lamb
- Reducing dietary crude protein levels while meeting metabolizable protein requirements: Performance of dairy cows over a full lactation period
- Effects of nutrient fertilization and soil tillage on soil CO2 emissions in a long-term grassland experiment
- Evaluating root characteristics under field conditions in perennial ryegrass for potential application in commercial breeding programmes
- Removal of autumn-growth herbage using sheep: Effects on yield and quality of first cut silage and subsequent cow performance
- Performance of dairy cows offered either zero-grazed grass or grass silage prepared from the same sward
- The effect of naturally acquired rumen fluke infection on animal health and production in dairy and beef cattle in the UK
- The Impact on Cow Performance and Feed Efficiency When Individual Cow Milk Composition and Energy Intake Are Accounted for When Allocating Concentrates
- Assessing the impact of a test and vaccinate or remove badger intervention project on bovine tuberculosis levels in cattle herds
- Consumer assessment, in Ireland and the United Kingdom, of the impact of the method of suspension of carcasses from dairy-origin bulls and steers, on the sensory characteristics of the longissimus muscle
- Implications of Organic Dairy Management on Herd Performance and Milk Fatty Acid Profiles and Interactions with Season
- Pre-Weaned Calf Rearing on Northern Irish Dairy Farms: Part 2. The impact of hygiene practice on bacterial levels in dairy calf rearing environments
- Performance of Dairy Cows Offered Grass Silage Produced within either a Three- or Four-Harvest System when Supplemented with Concentrates on a Feed‑to‑Yield Basis
- Effect of reduced dietary protein level on finishing pigs’ harmful social behaviour before and after an abrupt dietary change