Public Health & Epidemiology Consulting
I help research teams and health organizations design studies that hold up under peer review — from sampling strategy through analysis and dissemination.
MBBS · MSc Epidemiology & Biostatistics (Aga Khan University)
PhD Epidemiology (Michigan State University)
selection probability proportional to size — the method behind the recommendation
How the work proceeds
The same sequence every study eventually passes through — whether or not it's planned for up front.
01
Study design, eligibility framing, and sampling strategy — chosen and justified, not defaulted to.
02
Instrument development, field protocols, and monitoring frameworks built for the realities of collection.
03
Analysis plans that match the design — cluster-aware methods where the sampling calls for them.
04
Manuscripts, reports, and briefs written to withstand the scrutiny of peer review.
Where I help
Engagements range from a single design review to full study oversight, for research teams, NGOs, and academic groups.
Sample size calculations, cluster and multistage sampling strategy, survey design for prevalence and association studies.
Protocol development and review, ethics submission preparation, and methodological defense ahead of committee review.
M&E framework design for programs and NGOs, indicator selection, and evaluation design aligned to program realities.
Analysis planning and execution in R, Python, or SPSS, including cluster-aware methods for complex survey data.
Peer-reviewed manuscript development, technical reports, and donor-facing dissemination products.
Training and mentorship for research teams building internal epidemiological and biostatistical capacity.
Built for this work
Methodology recommendations here draw on tools built for the same problems — sample size planning, figure preparation for peer review, and structured research coaching.
Prevalence, association, and cluster-design sample size calculations, built on the same formulas used in published survey methodology.
Open the calculator →Checks figures against common journal submission requirements — resolution, format, and labeling conventions — before you submit.
Open the tool →AI-assisted data analysis support for NGO and program monitoring datasets, currently in development.
In progressBackground
Published methodology: Wajid A, White F, Karim MS. PLOS ONE. 2013;8(9):e75476 — PPS cluster selection with systematic sampling and enumerated household lists, the approach behind the sampling designs recommended here.
Delivered work for
UNICEF
Aga Khan University
Population Council
JSI Research & Training Institute
Michigan State University
University of Nebraska Medical Center
Canadian health authorities
Get in touch
Tell me briefly about the study or program, and where it stands. I'll follow up within a few days.
Prefer email directly?
abdulwajid.healthdata@gmail.com
Also building an open tools ecosystem for health researchers —