PhD-level statistician / data scientist.
I have worked as a statistician for 25 years in Europe, Africa, and the Caribbean. I have a long history of leading project data handling and analytics, including the management of solutions for robust and secure online data collection. I have published over 150 peer-reviewed articles on a broad range of chronic and infectious diseases. Working with academia, I have secured over 14 million US dollars of funding for health-related research.
I am committed to open-access data, and am developing an infrastructure for collecting and sharing Caribbean research data. I am statistical editor for the Cystic Fibrosis and Genetic Disorders group of the Cochrane Collaboration - an international not-for-profit organization dedicated to improving healthcare decision-making globally. I work with a range of Caribbean and international agencies involved in health and wellness.
PhD in Statistical Epidemiology, 2002
University of Southampton, UK
MSc in Biometry, 1995
University of Reading, UK
BA in Applied Mathematics, 1992
Brunel University, UK
The University appointments…
The Committee Appointments…
A few examples of my involvement in funded projects… usually offering statistical and data handling support.
An assessment of walkability in the UN World Heritage site of Bridgetown and the Historic Garrison
Evaluating and guiding policy decision-making in the Caribbean on the taxation of Sugar Sweetened Beverages
Secondary analyses of regional health inequalities using publically available data
A 45-year birth cohort for people living with sickle cell disease
Extending a Jamaican cohort to facilitate research addressing health disparities among African descent populations.
A few examples of my teaching and presentation outputs…
A secure web application to support data capture for research
REDCap is an acronym for Research Electronic Data Capture, and is used by more than 4,500 instutitions in 140 countries.
REDCap was built by the Vanderbilt Institute for Clinical and Translational Research, with funding from the National Institutes of Health.
REDCap is a web-based system for data collection. Data entry staff or people taking an online survey enter data in a web browser, either locally or from remote locations.
REDCap @ Cave Hill is operated jointly by the Campus RDH Committee and Campus IT Services. All project data are stored centrally in a secure database, and backed-up daily.
We will be rolling out our Cave Hill REDCap installation during 2021. We have been piloting REDCap extensively during 2020, and already, 400 UWI staff and students from all 3 campuses have created and managed 181 research projects using REDCap.
You do not need to install this software. The UWI supports REDCap for use by any research project.
REDCap has many features for operating your research study and for capturing your data electronically.
It is fast and flexible
Move from conception to a production survey/database in less than 1-day.
Build online surveys and databases quickly and securely
Create and design your project rapidly using secure web authentication from your browser. No extra software is required.
Export data to common data analysis packages
Export your data to Microsoft Excel, SAS, Stata, R, or SPSS for analysis.
Easily manage a contact list of survey respondents or create a simple survey link
Build a list of email contacts, create custom email invitations, and track who responds, or you may also create a single survey link to email out or post on a website.
Utilize a built-in project calendar and scheduling module for organizing your events and appointments.
Save your data collection instruments as a PDF to print
Generate a PDF version of your forms and surveys for printing to collect data offline.
Ad hoc reporting
Create custom queries for generating reports to view or download.
Many other Advanced Features
Such as auto-validation, calculated fields, branching/skip logic, survey stop actions.
When you use REDCap @ UWI, all your data is kept secure and private.
The servers we use for hosting REDCap and storage research data are certified HIPAA and GDPR compliant.
Using REDCap, you can remove identifiers from a dataset prior to exporting for analysis to create either a limited data set or a safe-harbor data set. A safe harbor data set is the removal of the 18 pieces of information considered identifiers for the purposes of HIPAA compliance.
REDCap @ Cave Hill is currently supported by grant funding. The Campus RDH Committee is currently developing a long-term sustainability plan. The UWI is committed to long-term maintenance of the REDCap software.
Use of REDCap is available at no cost to UWI staff and students. Additional assistance from our REDCap experts is available at an hourly rate.
There is a series of online REDCap tutorials produced by the REDCap consortium. These can help you determine if REDCap is the right tool for your study. During 2021, The RDH Committee will be developing a series of REDCap training resources specifically for UWI staff and students.