Authored / Co-authored Research
Research in which Edward is formally listed as an author or co-author.
Explore Peer-Reviewed PublicationsResearch Analytics & Scholarly Contributions
Analytical and methodological contributions to published and publication-oriented research.
This page presents research to which Edward has contributed substantial statistical, analytical, methodological or research-support expertise. In some work, that specialist contribution may be documented or acknowledged separately from formal authorship.
Authorship and analytical / scholarly contribution are distinct.
Preserving that distinction supports scholarly transparency and accurately represents how specialist research support may contribute to a published study.
What counts as a research analytics contribution?
Analytical support can enter at different points in the research process. The appropriate contribution is determined by the question, study design, data and intended output; not every supported study uses every method listed here.
- Research design support
- Statistical analysis
- Data preparation and cleaning
- Variable construction
- Descriptive analysis
- Inferential analysis
- Regression analysis
- Statistical modelling
- Subgroup analysis
- Sensitivity analysis
- Data visualisation
- Interpretation of analytical findings
- Support with research tables and figures
- Publication-oriented analytical support
- Systematic-review and meta-analysis analytical support where applicable
Research Question
Data
Analysis
Interpretation
Research Output
Authorship vs analytical contribution
These categories communicate different relationships to a research output and should not be treated as interchangeable.
Analytical / Scholarly Contributions
Research in which Edward contributed specialist analytical or methodological support but may not necessarily be listed as an author. Acknowledgment-based contribution is presented accurately and is not converted into an authorship claim.
Authorship reflects formal scholarly authorship; analytical contribution reflects documented specialist input into the research process.
Types of analytical contribution
Established forms of specialist support, selected according to the methodological needs of each study.
Statistical Analysis
Application of appropriate statistical methods to research datasets.
Data Preparation & Quality Review
Structuring, cleaning and reviewing data before formal analysis.
Statistical Modelling
Modelling relationships and outcomes where appropriate to the research question and data.
Research Interpretation
Supporting interpretation of quantitative findings within the research question and methodological context.
Research Tables & Figures
Preparing clear analytical outputs suitable for manuscripts, reports or scholarly communication.
Publication-Oriented Analytical Support
Supporting analysis required for manuscript development, revisions or responses to methodological concerns.
Evidence Synthesis Analytics
Supporting systematic reviews and meta-analyses through structured quantitative synthesis where appropriate.
A disciplined route from objective to scholarly output
The exact workflow depends on the research question, study design, data structure and publication requirements.
Research Objective
Data Review
Analytical Plan
Statistical / Analytical Work
Diagnostics / Robustness
Interpretation
Research Tables / Figures
Scholarly Output
Contributions across established fields
Analytical support differs by domain, but its underlying principles remain consistent: appropriate methods, reproducibility, transparency and interpretation.
- Public Health & Epidemiology
- Clinical & Health Research
- Evidence Synthesis
- Finance, FinTech & Economics
- Development & Humanitarian Research
Research support across teams and contexts
Research-analytics support may be delivered with researchers, medical professionals, universities, research institutions, NGOs, development organisations and international research teams.
Edward's wider research record includes collaboration with researchers in Kenya and Saudi Arabia, with research outputs spanning Kenya, Saudi Arabia, Somalia, the UAE and other African contexts.
Collaboration audiences include Researchers, Medical professionals, Universities, Research institutions, NGOs, Development organisations, International research teams.
Consultancy and scholarly analytical collaboration
Established collaboration with medical researchers in Saudi Arabia has included analytical and methodological support for medical and health research. This is consultancy and scholarly collaboration, not a claim of employment by a university or hospital.
- Statistical analysis
- Research-data analysis
- Modelling
- Analytical interpretation
- Manuscript-oriented analytical support
- Systematic-review and meta-analysis support where applicable
Publication-oriented analytics
Analysis may be developed or revisited during manuscript preparation, supervision and peer-review response, while remaining grounded in the study design and available data.
- Reviewing datasets before analysis
- Checking assumptions
- Revising analytical plans
- Rerunning analyses after data updates
- Interpreting reviewer or supervisor methodological comments
- Producing or revising statistical tables
- Diagnostics and robustness checks
- Supporting manuscript revisions
No guarantee of publication. Analytical support does not guarantee journal acceptance, publication, authorship or a particular research outcome.
Systematic reviews & meta-analysis support
Where an evidence-synthesis question and the available studies permit quantitative synthesis, specialist support can extend from extraction design to interpretation of pooled evidence. Not every evidence-synthesis project includes a meta-analysis.
- Data extraction structure
- Effect-size preparation
- Quantitative synthesis
- Heterogeneity assessment
- Subgroup analysis
- Meta-regression where appropriate
- Sensitivity analysis
- Publication-bias assessment
- Interpretation of pooled evidence
Research analytics & data science
Traditional research statistics and broader data-science methods can be complementary. Advanced methods should be used only where they add methodological value.
Research Statistics
→ inference, estimation, relationships and uncertainty
Data Science
→ broader analytical workflows, prediction, modelling, automation and visualisation where appropriate
Research outputs
Depending on the engagement, analytical work may produce one or more of these outputs. Their scope is agreed for the study; none implies a promise of publication, acceptance, authorship or a specific outcome.
- Cleaned analytical datasets
- Statistical analyses
- Analytical tables
- Figures
- Statistical models
- Model diagnostics
- Robustness analyses
- Meta-analysis outputs
- Analytical interpretation
- Manuscript-oriented analytical files
- Reviewer-response analytical revisions
- Research reports
Related research
These sections provide complementary evidence of formal authorship, research domains, external scholarly identity and applied project work.
Peer-Reviewed Publications
The verified record of formal authorship and co-authorship.
Research Areas
The domains, questions and methodological contexts informing the work.
Research Profiles
External scholarly identity, publication and professional profiles.
Selected Projects
Applied project work presented separately from the scholarly record.
Related services
Research analytics frequently intersects with methodological design, evidence synthesis and advanced data analysis.
Research & Evaluation
Methodological design, research and evaluation support.
View service areaEvidence Synthesis
Structured review and quantitative synthesis where appropriate.
View service areaData Science & Analytics
Advanced analytical workflows, modelling and visualisation.
View service areaNeed specialist analytical support for a research study?
Collaboration may support researchers and research teams with data analysis, statistical modelling, evidence synthesis, interpretation and publication-oriented analytical work.