Epidemiological, Clinical & Operational Research Methods (ECORM)

Tracks in this pathway

1. 1

   Foundations of Global Health Research

   How often has a good research idea stalled because you were not sure where to start? This course turns a vague idea into a solid, fundable research protocol.

   $40.00

   Courses

   • Welcome in the ECORM Pathway

     Welcome in the ECORM Pathway

   • Level 1-1: Reading a Research Protocol

     Go behind the scenes of a real study and learn to read any protocol like a professional. This course is Level 1 of the "Foundations of Global Health Research" in the ECORM Pathway.

   • Level 1-2: Defining Your Research Question and Objectives

     Turn a vague concern into a sharp, answerable, fundable question, the single most valuable skill a researcher owns. This course is Level 1 of the "Foundations of Global Health Research" in the ECORM Pathway.

   • Level 1-3: Sampling and Recruiting Participants

     Who is in your study, and how you reach them, is the line between evidence people believe and evidence they quietly ignore. This course is Level 3 of the "Foundations of Global Health Research" in the ECORM Pathway.

   • Level 1-5: Data Quality, Validity and the Final Protocol

     The finish line: lock in validity, draw your framework, and walk away with a complete protocol, proof of what you can do. This page is Level 5 of the "Foundations of Global Health Research" of ECORM pathway.

   • Level 1-4: Choosing and Measuring Variables

     If your measurements are off, everything downstream is fiction. Learn the quiet craft that survives peer review. This course is Level 3 of the "Foundations of Global Health Research" in the ECORM Pathway.

2. 2

   Designing Global Health Research Studies

   The wrong study design cannot be rescued by any analysis, however clever. Learn to choose the right design for any question, from a simple survey to a randomized trial.

   $60.00

   Courses

   • Choosing the Right Study Design

     This course is part of the Specialization in Epidemiological, Clinical, and Operational Methodology (ECORM). This page is Level 1 of the "Designing Global Health Research Studies" course from ECORM Pathway

   • Designing a Cross-Sectional Study

     The fastest, most affordable window into a population's health, designed cleanly, free of the biases that distort it. This page is Level 2 of the "Designing Global Health Research Studies" course from ECORM Pathway.

   • Designing a Cohort Study

     When you need to know what causes what over time, you follow a cohort, and defend it against loss to follow-up. This page is Level 3 of the "Designing Global Health Research Studies" course from ECORM Pathway.

   • Designing a Case-Control Study

     For rare diseases and hard-to-measure exposures, the efficient, elegant answer, if you choose your controls right. This page is Level 4 of the "Designing Global Health Research Studies" course from ECORM Pathway.

   • Causal Inference in Observational Studies

     An association is not a cause, and knowing the difference is what makes a researcher credible. This page is Level 5 of the "Designing Global Health Research Studies" course from ECORM Pathway.

   • Designing a Randomized Controlled Trial (RCT)

     The design that can actually prove cause and effect, from the classic RCT to the pragmatic designs that work in real health systems. This page is Level 6 of the "Designing Global Health Research Studies" course from ECORM Pathway.

   • Diagnostic Test Studies and Finalizing Your Design

     The capstone: design studies of diagnostic tests, put existing data to work, and write your own study-design section. This page is Level 7 of the "Designing Global Health Research Studies" course from ECORM Pathway.

3. 3

   Sample Size & Power Calculations

   "How many participants do you need?" should never be a guess. Learn to justify your sample size with confidence, and write the paragraph reviewers actually accept.

   $40.00

   Courses

   • Understanding Sample Size, Power and Effect Size

     Answer "How many participants do you need?" with confidence instead of a guess. This level is Level 1 of the "Sample Size & Power Calculations" course from ECORM pathway

   • Sample Size for Descriptive Studies

     A calculator is only as smart as the design you feed it. Learn to pick it, then size your first real study. This is Level 2 of the "Sample Size & Power Calculations" course from ECORM pathway.

   • Sample Size for Comparing Two Groups

     The most common calculation in health research: how many do you need to detect a real difference between two groups? This is Level 3 of the "Sample Size & Power Calculations" course from ECORM Pathway

   • Sample Size for Cohort, Case-Control and Clustered Studies

     Size the designs that don't fit a simple two-group mould, and see why clustering quietly demands more people. This is Level 4 of the "Sample Size & Power Calculations" course from ECORM Pathway.

   • Sample Size for Trials and Writing the Protocol Section

     Size a trial, write a sample-size section a reviewer will accept, and know when to call a biostatistician. This page is Level 5 of the "Sample Size & Power Calculations" course from ECORM Pathway.

4. 4

   Systematic Reviews & Meta-analysis in Global Health

   Anyone can summarize a few papers; a systematic review is evidence you can defend. Learn to search, appraise and pool studies into a real, publishable meta-analysis.

   $40.00

   Courses

   • Framing a Systematic Review: Question and Protocol

     Every trustworthy review starts here: a sharp question and a protocol you register before you begin. This is Level 1 of the "Systematic Reviews & Meta-analysis in Global Health" course from ECORM Pathway

   • Systematic Literature Searching

     A review is only as good as its search. Find every relevant study, including the ones hiding in grey literature. This is Level 2 of the "Systematic Reviews & Meta-analysis in Global Health" course from ECORM Pathway

   • Screening, Data Extraction and Risk of Bias

     Turn a pile of search results into clean, appraised data you can actually trust. This is Level 3 of the "Systematic Reviews & Meta-analysis in Global Health" course from ECORM Pathway.

   • Meta-analysis Essentials

     Understand what a meta-analysis actually does before you run one, so you never pool studies that should not be combined. This is Level 4 of the "Systematic Reviews & Meta-analysis in Global Health" course from ECORM Pathway.

   • Running and Reporting a Meta-analysis in R

     Run a real meta-analysis in R, then interpret it and write it up to PRISMA standards. This is Level 5 of the "Systematic Reviews & Meta-analysis in Global Health" course from ECORM Pathway.

5. 5

   Research Ethics, Implementation & Quality Management

   Great data is worthless if your study cannot survive an ethics review or an audit. Learn to protect your participants and run a site that stands up to scrutiny

   $40.00

   Courses

   • Quality Assurance, Monitoring and Safety

     Catch problems early, keep participants safe, and fix root causes: the difference between a study that survives an audit and one that doesn't. This is Level 5 of the "Research Ethics, Implementation & Quality Management" course from ECORM Pathway.

   • SOPs, Essential Documents and Data Flow

     The unglamorous backbone of a trustworthy study: written procedures, organised files, and a clear path from patient to database. This page is Level 4 of the "Research Ethics, Implementation & Quality Management" course from ECORM Pathway.

   • Good Clinical Practice and Site Start-Up

     Turn an approved protocol into a running site, with the good-practice habits that keep it credible. This is Level 3 of the "Research Ethics, Implementation & Quality Management" course from ECORM Pathway.

   • Consent in Practice and Ethics Approval

     Real consent is harder than a signed form. Handle communities, special cases and the ethics committee with confidence. This page is Level 2 of the "Research Ethics, Implementation & Quality Management" course from ECORM Pathway.

   • Research Ethics and Informed Consent

     Before any data is collected, you owe participants protection, respect and trust. This is where that begins. This page is Level 1 of the "Research Ethics, Implementation & Quality Management" course from ECORM Pathway.

6. 6

   Digital Data Capture & Management with ODK & REDCap

   Most data disasters are decided before collection even starts. Build the mobile forms, databases and workflows that keep your data clean from the very first entry.

   $40.00

   Courses

   • Research Data Management and the Data Life Cycle

     Good research needs good data. Learn to plan for it before a single value is collected. This is Level 1 of the "Digital Data Capture & Management with ODK & REDCap" course from ECORM pathway.

   • Designing Variables and Case Report Forms (CRFs)

     The shape of your form decides the quality of your data. Get the variables and the CRF right before you touch a tool. This is Level 2 of the "Digital Data Capture & Management with ODK & REDCap" course from ECORM Pathway.

   • Mobile Data Collection with ODK, Kobo and XLSForms

     Build a mobile form that works offline in the field, then collect and sync real data from any Android device. This page is Level 3 of the "Digital Data Capture & Management with ODK & REDCap" course from ECORM Pathway.

   • Building a Study Database with REDCap

     For longitudinal and clinical studies, REDCap is the workhorse. Build a secure, audit-trailed database with branching logic and follow-up visits. This is Level 4 of the "Digital Data Capture & Management with ODK & REDCap" course from ECORM Pathway.

   • Data Cleaning, Export and Study Closeout

     Turn raw submissions into a clean, documented, safely archived dataset ready for analysis and sharing. This is Level 5 of the "Digital Data Capture & Management with ODK & REDCap" course from ECORM Pathway.

7. 7

   Artificial Intelligence in Health Research

   AI is already in your research, whether you planned for it or not. Learn to use it well and responsibly, and to know exactly what it can and cannot do.

   $40.00

   Courses

   • Understanding Artificial Intelligence in Health Research

     Learn the main AI concepts that health researchers need before using these tools in research. This page is Level 1 of the "Artificial Intelligence in Health Research" course from ECORM Pathway.

   • Using Generative AI Effectively in Research

     Learn how to give clear instructions, work with source material and verify AI outputs before using them in research. This page is Level 2 of the "Artificial Intelligence in Health Research" course from ECORM Pathway.

   • Using AI Across the Research Process

     Apply AI to selected research tasks while keeping scientific decisions and verification under researcher control. This page is Level 3 of the "Artificial Intelligence in Health Research" course from ECORM Pathway.

   • Using AI for Data, Coding and Analysis

     Use AI to support coding and analysis while keeping statistical decisions, validation and reproducibility under researcher control. This page is Level 4 of the "Artificial Intelligence in Health Research" course from ECORM Pathway.

   • Responsible Use of AI in Health Research

     Use AI in ways that protect participant information, preserve scientific integrity and make researcher responsibility clear. This page is Level 5 of the "Artificial Intelligence in Health Research" course from ECORM Pathway.