Each member of our team has the necessary skills and expertise to drive decision making by evidence based practices for your organization. This is what your organization may need in order to attain a competitive edge in a dynamic and competitive field.
What help can we provide:
CEMRE with its able staff, helps individuals and organizations in the following broad areas:
Training (Matlab, Maple, Stata & R)
Calculating technology in mathematics has evolved from four function calculators to scientific calculators to graphing calculators and now to computers with computer algebra system software (CAS) such as Matlab, Maple, Mathematica e.t.c. We use these CAS software for mathematics to achieve higher-level cognitive skills that focus on concepts and problem solving among our clients and participants.
Similarly, we help participants acquire knowledge in the two main statistical software (Stata and R). The use of these software, for statistical analysis tasks is rapidly growing due to their many capabilities in handling complex and advanced statistics tasks. Their application in data analysis is increasingly becoming popular among analysts with complete and robust algorithms that provide everything needed for data management, manipulation, analysis and graphing. Visit the software page for additional information about these software.
Mathematical analysis & modelling
Mathematical analysis and modeling focuses on research related to the mathematical modelling of scientific processes. While the area is broad, we limit our engagement to the area of medicine, biology, ecology, environment and pharmacy. We employ numerical analysis skills with the help of Matlab and Maple to formulate and solve mathematical models (which in most cases are differential equations) both analytically and numerically. The solutions are used to make predictive analysis of biological processes and phenomena.
In epidemilogy, we focus on descriptive and analytic approaches used to understand the complex causes of major public health problems and developing effective strategies to prevent them. For biostatitics (or medical research), we emphasize on the development and application of the theory of statistics and methods in the collection, analysis and interpretation of data used in public health and other biomedical sciences with the view of coming up with solutions to inform policy.
Analysis of bioinformatics data
Bioinformatics is a field of study that uses computational knowledge to extract knowledge from biological data. While bioinformatics includes the collection, storage, retrieval, manipulation and modelling of data for analysis and visualization, we only concentrate on the retrieval, manipulation and modelling and prediction on genomic data through the development of mathematical/statistical algorithms and software. We use the Python and R programming languages to achieve these tasks.
If you have a research project and do not know where to begin, then you need not worry - leave it to the proven experts. We have a committed team who are qualified statisticians with excellent research and analysis skills carry out your project or guide you from the start to the end or to appoint you feel comfortable to proceed independently.
We are able to help you in the following:
- Data collection and entry.
- Data management and manipulation (clean, validate, recode, transform reshape, merge, e.t.c) prior to the analysis.
- Extract insights from your data and utilize evidence-based practices to drive decision-making for you organization.
- Build mathematical and statistical forecasting models for predicting into the future working competently to minimize errors in the model results.
- Keep up-to-date with new developments in statistical software (Stata and R) that we use for the analysis. The client however is free to choose a version to use depending on what version is in use at their organization.
- Provide post analysis training and technical support to the research departments back at your organization with respect to the techniques used during the analysis process.
IMPORTANT NOTE: We do NOT do research (data analysis) for students (both undergraduate and postgraduate). If you are a research students and are interested in acquiring first hand research skills, we would recommend our training workshops