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.




























Gilbert Mackenzie Statistical Model Development. Survival and Event History. Non-PH and & Parametric Models. Covariance Modelling in longitudinal studies.Design and Analysis of Longitudinal RCTs. Interval Censoring. GLMMs. R. SPSS. I was a Medical statistician for 30 years in QUB , Belfast, UK; Professor of Medical Statistics at Keele University in the UK and Director of the Centre of Medical Statistics; Professor of Statistics in the University of Limerick and Director of the Centre of Biostatistics and finally Visiting Professor of Statistics at ENSAI, Bruz, Rennes, France.

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Ewan Donnachie Health services research; Epidemiology; R Europe

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John Ong Clinical Trials, Product Development,

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Kathryn Lowery Oncology clinical development; companion diagnostic development; small molecule, advanced therapies and immunotherapy development. Worldwide

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Gloria Crispino Biostatistics, Experimental design, clinical research

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Lynsey Mccoll SELECT STATISTICAL SERVICES LTD Select Statistics provides a comprehensive statistical consultancy service that brings value to our clients through our professional solutions, services and training. We operate across a broad range of sectors and offer a wide variety of services that can all be tailored to meet your unique requirements. Our clients range from large international corporations and public sector bodies to SME’s and private individuals. No project is too big or small. To some we are statistical analysts, to others we are data scientists or statistical consultants. Whatever terminology you prefer, what characterises and drives us is identifying and using the best statistical tools to achieve greater understanding, improve decision making and solve practical problems for our clients. Our aim is always to deliver high quality products and services for our clients and we are especially happy to help clients develop internal expertise so that they can understand and use statistical techniques themselves. For more details and case studies please visit the Select Statistics website as shown on the Contact Details tab. Worldwide

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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

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Adetayo Kasim
Peter Cahusac Clinical trials. Categorical data analyses. Likelihood approach. Using R.
Cathy W. S. Chen Time series analysis; Bayesian MCMC methods; Forecasting; Statistical computing; Financial Econometrics; Statistical methods in epidemiology. Worldwide

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Chris Chen Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling
Jane L Hutton Expert witness in life expectancy; cerebral palsy, injuries to neural system. Adverse effects of drug and medical devices. Statistics and ethics
Hon Yin Hau Scorecard, Information Value, Weight of Evidence, Linear / Logistics / Non-linear / Quantile regression, Automation, Time Series, Simulation, GLM, Survival Analysis, Risk Modelling, Pricing, Forecast, Data Cleansing, Experimental Design, Financial Modelling, Graphical Design, Erlang-C Model, Tree Decision Program: SAS, R, VBA, SQL, Tableau
Sarah Littler SELECT STATISTICAL SERVICES LTD Select Statistics provides a comprehensive statistical consultancy service that brings value to our clients through our professional solutions, services and training. We operate across a broad range of sectors and offer a wide variety of services that can all be tailored to meet your unique requirements. Our clients range from large international corporations and public sector bodies to SME’s and private individuals. No project is too big or small. To some we are statistical analysts, to others we are data scientists or statistical consultants. Whatever terminology you prefer, what characterises and drives us is identifying and using the best statistical tools to achieve greater understanding, improve decision making and solve practical problems for our clients. Our aim is always to deliver high quality products and services for our clients and we are especially happy to help clients develop internal expertise so that they can understand and use statistical techniques themselves. For more details and case studies please visit the Select Statistics website as shown on the Contact Details tab. Worldwide
Jo Morrison Analysis of publicly available education datasets, e.g. National Pupil Database, PISA & TIMSS international studies. Application of statistical techniques such as multilevel modelling and item response theory. Design and analysis of surveys. Worldwide
Albert Chau Clinical Trials, Drug Development, Phase I-IV Trials, Oncology, Cancer, Statistics, SAS Programming, CDISC, Data Management, Data Science, Survival Analysis
Alun Bedding Early phase clinical trials, adaptive trials, dose-finding, Bayesian methods, multi-arm clinical trials.
Harrison C Schramm North America

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Carlin Chun-Fai Chu AI, Data mining, Statistical computation

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Marco Geraci Statistical methods and applications for health sciences; quantile inference; random-effects models; multivariate statistics; missing data; circular statistics; statistical computing; R and C++ programming; spatial statistics; accelerometer data; physical activity; maternal and child health; epidemiology; pediatric oncology; Crohn's disease. Worldwide