Public health research tools

Better research, one decision at a time.

AI-assisted tools built by a practicing epidemiologist — for the moments in a study where you actually get stuck.

If you're starting a study

Work through your research question

PHRPS walks you from question to protocol, module by module.

Begin with Module 1

Already know which module you need? See all four modules ↓

If you just need one thing

Jump to a standalone tool

Sample size, figure formatting — no sequence, no account.

Browse tools

PHRPS — Public Health Research Planning Suite

Each module builds on the last — start wherever your project is.

MODULE 01

Research Reviewer Lens

See what a reviewer would flag in your research question — before it goes anywhere near a committee.

~10 MIN · NO ACCOUNT NEEDED

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MODULE 02

Study Design & Measurement

Settle your study design and build a variable framework you can defend to a committee.

~15 MIN · BUILDS ON MODULE 01

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MODULE 03

Sampling & Survey Planning

Justify your sample size and sampling strategy, then plan the fieldwork.

~15 MIN · BUILDS ON MODULE 02

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MODULE 04

Protocol & Ethics

Build your methods section and prepare your reasoning for ethics committee submission.

~15 MIN · BUILDS ON MODULE 03

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MODULE 05

Monitoring & EvaluationNEW

Build your theory of change, develop SMART indicators, and produce a donor-ready logframe.

~15 MIN · BUILDS ON MODULE 04

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Standalone tools

Quick, single-purpose — no sequence required.

Survey Sample Size Calculator

Calculate sample sizes for cross-sectional studies — generates protocol-ready text automatically.

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Journal Figure Optimizer

Resize and optimize figures to meet journal DPI, dimension, and format requirements.

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In development

Epidemiology Glossary · PH AI Data Assist · More calculators — case-control, cohort, RCT designs

Abdul Wajid

Physician-Epidemiologist · MBBS, MSc Epidemiology & Biostatistics, PhD Epidemiology

Methods Lab exists because rigorous research methods shouldn't require institutional privilege to access.

25+ years spanning clinical medicine, public health, and applied data science, with work delivered for UNICEF, Aga Khan University, Population Council, Michigan State University, and Canadian health authorities.