A few key questions:
You need statistical guidance (1-5 days per year) during your PhD? You
have submitted a paper and the statistical analysis was criticized? You have
measured data and would like to know how to analyze the data? You need a good statistician on board to
win a proposal? You need a statistician for your project? You want to carry
out an experiment but have no idea how many samples to take?
Statistical techniques are required in nearly every stage of scientific
research; from project proposal writing, experimental design and data
analysis, right up to report writing. One option is to do all the
statistical work yourself. If you have the time and knowledge, we advise you
to do so. However, your statistical skills might be rusty, or you might need
expertise knowledge for a particular problem. The learning curve to access
the required statistical knowledge might be steep, time consuming and
An alternative is to contract out the statistical work. We are
specialized in a wide range of statistical methods (our books covers
univariate, multivariate, time series and spatial methods) and have worked
with a large variety of data; from bees to birds, copepods to whales, from
plants on mountains to salt marsh plants, fish farming, medical health data,
stomach content data of dolphins, sea surface temperature time series,
tagged seal data, etc.
Some of our contracts
To give you an idea what we do, a few of our previous and current
consultancy contracts are listed below.
- A large number of PhD students from all over the world requested
statistical guidance (1 to 5 days per year). Two examples from 2009:
- 5 days of work on a biomedical project for an American PhD
student. The project required mixed effects modeling
- 5 days of work on rodent species using ZIP models for 2-way
- Analysis of monkfish data for the Institute of Aquaculture,
University of Stirling, UK. (2007).
- Spatial mapping of sea bird distributions (using Poisson Kriging)
based on 20 years of data. Large project for Joint Nature Conservation
Committee (JNCC). (2007/2008).
- Time series analysis of phytoplankton data for RIKZ, The
Netherlands. Multiple variables (phytoplankton and environmental
variables), multiple stations, irregular spaced monthly data (2007).
Application of additive mixed modeling (2007).
- Statistical consultancy for Natural Research, Banchory, UK
(2007). Mainly on hen harriers and wind farms.
- Power analysis and statistical support for a cod welfare data for
Johnson Seafarms Ltd, Shetland, UK (2007/2008).
- Analysis of fisheries data for the Marine Institute, Galway, Ireland
- Statistical consultancy for a bio-diversity project, Zoology
Department, Martin Ryan Marine Science Institute, National University of
Ireland, Galway, Ireland (2007).
- Analysis of whale data for the University of Aberdeen (2007).
Our paper in the
- More whale data analysis for Aberdeen university (2007),
see the resulting paper.
- Provision of a statistical protocol for the
analysis of whale data for the EU
- Statistical consultancy for the BAGPIPES project (bio-diversity),
Oceanlab, University of Aberdeen (2006/2007), in co-operation with the
University of York and the St. Andrews University.
- Statistical consultancy for two NERC projects, Oceanlab, University
of Aberdeen (2007).
- The University of Aberdeen has purchased 30 days statistical
consultancy (2006/2007). Results: approximately 10 co-authored papers
and intensive guidance of various PhDs.
- Stats input for a project on birds, Department of Zoology, Ecology &
Plant Science, University College Cork, Ireland (2006).
- The University of Cork asked us to help with the statistical
analysis of tagged animals (2006).
- We were contracted by FRS Marine Laboratory in Aberdeen to apply a
multivariate analysis on morphometric, chemical, parasite and genetics
data from herring (EU project) (2005/2006).
- The Central Science Laboratory in York involved us in a bird radar
- The Crown Estate (UK) asked us to carry out an experimental design
for sampling chemical variables in salmon at fish farms in Scotland.
- Based on a pilot study, a Dutch government institute asked us to set
up a marine benthic monitoring program. Results were presented in a
non-technical report: Development of an optimal marine benthic
monitoring program with respect to species-environmental relations and
temporal changes. The proposed monitoring program was implement in June
and July 2002, and the data were analyzed by Highland Statistics.
- The Environment Agency (UK) commissioned us to analyze the effects
of nourishment on marine benthic data.
- During 2002-2005, we provided statistical consultancy for the EU
funded project: Cephalopod Stocks in European Waters: Review, Assessment
and Sustainable Management. Additionally, multivariate time series
techniques were applied to estimate common spatial and temporal patterns
in cephalopod abundances, and identify effects of external environmental
factors, underlying stock dynamics and fishing pressure. This project
has resulted in 4 co-authored papers.
- We were asked by the Marine Institute in Ireland to provide
statistical guidance for a PhD-studentship dealing with Irish fisheries
discarding. This project has resulted in 3 co-authored papers.
- We have carried out an extensive multivariate data analysis for
Landcatch Ltd., a salmon smolts company in Scotland. Possible factors of
post transfer mortality of sea winter salmon in Scottish marine farms