NHANES R Workshop: Identify Comorbidities & Prevalence in US
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•   LIVE ONLINE WORKSHOP

NHANES (US Survey Data) in R: Identifying Comorbidities & Estimating Prevalence

NHANES & R Workshop — from Literature Search to Manuscript Submission.

A hands-on live workshop for PG/MD/MDS/PhD students, faculty, and clinicians to work with NHANES survey data in R for identifying comorbidities, building survey-weighted prevalence estimates, and reporting findings correctly for publication.

  2 Sessions · 2 Days   Online via Google Meet   Certificate + Recordings
Live Workshop Batch
  • 2 Live Interactive Sessions
  • Beginner Friendly
  • Practical AI Demonstrations
  • AI-Assisted Literature Review Workflow
  • IMRaD Manuscript Drafting
  • E-Certificate + Recording Access
₹999 Limited Seats
Secured checkout · UPI / Cards / Net Banking
2 Live Sessions Practical AI Demonstrations Expert Faculty · Publish It Certificate Included
Workshop Curriculum

An NHANES & R Workshop — 2 sessions

A 2-session live online workshop teaching participants how to work with NHANES, the largest US public-use national health survey, using R. Covers importing, appending, and merging NHANES data modules, pooling survey cycles, identifying comorbidities, and estimating their prevalence and predictors.

SESSION 1
Sunday, 12 September 2026 11:00 AM – 01:00 PM

Foundations & Data Preparation

01
  •   Why NHANES and how its complex sampling design works
  •   Importing & merging NHANES data modules in R
  •   Appending & pooling multiple survey cycles correctly
  •   Identifying comorbidities from NHANES variables
  •   Coding chronic conditions using clinical variable logic
SESSION 2
Sunday, 12 September 2026 04:00 PM – 06:00 PM

Prevalence, Modeling & Reporting

02
  •   Survey weights & setting up the design object in R
  •   Estimating weighted prevalence across subgroups
  •   Building a survey-weighted logistic regression model
  •   Interpreting weighted odds ratios & confidence intervals
  •   Reporting NHANES findings correctly for publication
Your Mentor

Meet the Faculty

Mentor

Dr. Nirosha Elsem Varghese

Founder & Research Mentor
  • Former Postdoctoral Scientist, Johnson & Johnson Pharmaceuticals, Belgium
  • Former Marie Skłodowska-Curie PhD Researcher, European Commission Project — Improving Quality of Care in Europe, Bocconi University, Italy
  • Other Affiliations: Research Fellow, OECD (Paris) | German Development Institute (Bonn) | Mario Negri Institute for Pharmacological Research (Italy)
  • Over a decade of experience working with large-scale patient data across multiple specialties
  • Focus Areas: Oncology, Pulmonary Hypertension, Infectious Diseases and Vaccines, Cardiovascular Outcomes, Sleep Disorders, Maternal and Child Health
  • Published extensively; 1,500+ citations
  • Teaching: Bocconi University (Bachelor's and Master's), and research training for practising doctors via Publish It
Mentor

Lubna Shahanas

Lead Biostatistician
  • Extensive experience supporting doctors, PG residents, and researchers across India
  • Expertise in evidence synthesis, biostatistics, and academic writing
  • Supported publications in PubMed and Scopus indexed journals
  • Mentored research mentorship batches across multiple medical specialties
  • Deep expertise in responsible use of AI in medical research
What You Receive

Everything included in your registration

2 Live and Interactive Sessions

Structured live Google Meet sessions with real-time Q&A and hands-on demonstrations covering NHANES data import, survey design, prevalence estimation, and predictor modeling in R.

Session Recordings

Recording access so you can revisit the material and work through it at your own pace.

Practice Materials & Handouts

Templates and practical resources to support your NHANES workflow after the sessions end.

Certificate of Completion

A verifiable e-certificate issued after completing the workshop, ready to add to your academic CV, portfolio, or LinkedIn profile.

Workshop Details

NHANES (US Survey Dataset) in R: Identifying Comorbidities & Estimating Prevalence

  • Sessions2 Live · 4 Hours
  • PlatformOnline via Google Meet
  • CertificateE-Certificate
  • Recording AccessIncluded
  • Study MaterialsMaterials + Examples
Reserve Your Seat

Click below to complete your registration for this batch.

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FAQ

Common questions

What is NHANES?+
NHANES (National Health and Nutrition Examination Survey) is a large, nationally representative US health dataset combining interviews, physical exams, and lab data, widely used to study disease prevalence and comorbidity patterns.
What is a comorbidity, and why estimate its prevalence?+
A comorbidity is the presence of one or more additional conditions alongside a primary condition of interest. Estimating prevalence tells you how common these co-occurring conditions are in a population, which is foundational for many types of clinical and public health research.
Do I need prior experience with NHANES or R?+
No. The workshop is beginner-friendly and starts from importing and understanding the dataset structure.
What will I be able to do after this workshop?+
You'll be able to import NHANES data, merge variables across modules, append data across survey years/cycles, and estimate comorbidity prevalence correctly using survey weights.
Why does survey weighting matter for NHANES analysis?+
NHANES uses a complex, multistage sampling design. Prevalence estimates calculated without survey weights are biased and not generalizable to the US population.
Is this the same as the MASLD workshop?+
No. This one is a more general NHANES workshop on identifying and estimating comorbidity prevalence broadly, rather than modelling predictors for one specific condition, and does not include a publication-support track.
What do I need, and what will I receive?+
R (4.3+) and RStudio on your own laptop. You'll get R scripts, slide decks, session recordings, and an e-certificate of completion.