Consultants Directory

We provide a Directory of Statistical Consultants listing our professionally qualified members who offer a statistical consultancy service. Professionally qualified members hold the status of Chartered Statistician (CStat).

The Directory contains profiles created by the consultants, including information on their specialisms and background as well as their contact details. It operates on an opt-in basis – each consultant has agreed to their profile being available on our public website. There are terms of reference covering the operation of the directory, to ensure it remains up to date.

Specialisms

Name

City/Town

Postcode

Region Please Select Africa Asia Europe North America UK Worldwide

Areas of consultancy Applied operational research
Bayesian methods
Bioassay
Calibration
Censuses and surveys
Clinical trials
Design and analysis of experiments
Epidemiology
Expert systems
Exploratory data analysis
Forecasting
GLMs and other non-linear models
Graphics
Multivariate analysis
Neural networks and genetic algorithms
Non-parametric statistics
Numerical analysis and optimisation
Pattern recognition and image analysis
Probability
Quality methodology
Reliability
Sampling
Simulation
Spatial statistics
Statistical computing
Statistical inference
Survival analysis
Time series

Search Clear your choices

	Ziad Taib	State of the art Statistical Methods for Planning, Analysis and Reporting of Clinical Trials. Decision analysis for Drug Development Projects. Interim Monitoring.	Worldwide
DB	Derek Bond	Regional Statistics; Organisational Issues; Econometrics; Spatial Statistics, Boundary issues	Worldwide
	Cathy W. S. Chen	Time series analysis; Bayesian MCMC methods; Forecasting; Statistical computing; Financial Econometrics; Statistical methods in epidemiology.	Worldwide
AK	Andrew Kingston	Microsimulation, healthy life expectancy, time-to-event analysis, multistate modelling, group based trajectory modelling, joint models, analysis of repeated meaures, analysis of longitudinal data, analysis of categorical data (cross-sectional and longitudinal), multivariate and multivariable analyses, R, Stata
	Richard Saldanha	Quantitative finance; AI/machine learning; mathematics/statistics.	Worldwide
PMGS	Professor Michael G. Schimek	For biomedical research, biostatistical and bioinformatical expertise is offered with a special focus on (i) the development of data collection and analysis strategies, (ii) strategies for the extraction of knowledge from data, and (iii) integration (fusion) of data from different sources and of different types. Apart from biomedical applications, various types of data from a wide range of customers in industry, institutions, and administration can be evaluated. A special focus is on (i) the analysis of rating and ranking data, (ii) their integration, also with other types of data, (iii) support for evaluation exercises, and (iv) reporting for decision makers.	Europe