Predictors of MASLD — Logistic Regression, Odds Ratios & Handling Separation of Events
⚡ Registrations open. — Reserve your seat now.
•   LIVE ONLINE WORKSHOP

NHANES in R: Predictors of MASLD in US Population

A hands-on R workshop on identifying MASLD predictors in NHANES data.

A hands-on NHANES & R workshop covering how to define MASLD in NHANES data, build survey-weighted predictor models, and correct for separation of events using Firth's method. Beginner-friendly, no prior R experience needed.

  2 Sessions ·2 Days   Online via Google Meet   Certificate + Recordings
Live Workshop Batch
  • 2 Live Interactive Sessions
  • Beginner Friendly
  • Hands-on R Coding
  • Unlimited Recordings
  • Lifetime Learning Resources
  • E-Certificate + Recording Access
₹999 Limited Seats
Secured checkout · UPI / Cards / Net Banking
2 Live Sessions Practical R Demonstrations Expert Faculty · Publish It Certificate Included
Workshop Curriculum

About This Workshop — 2 sessions

A 2-session live online workshop teaching participants how to identify predictors of MASLD in NHANES data using R. Covers MASLD case definition and outcome coding, assembling and merging predictors across NHANES modules with correct survey-weight recoding, fitting survey-weighted models, interpreting weighted odds ratios and confidence intervals, and diagnosing and correcting separation of events using Firth's penalised-likelihood method, with a look at the publication track for this type of analysis.

SESSION 1
Sunday, 27 September 2026 11:00 AM – 01:00 PM

Defining MASLD in NHANES Data using R

01
  •   MASLD case definition and outcome coding in R
  •   Assembling candidate predictors from NHANES modules
  •   Merging predictors onto the outcome dataset via SEQN
  •   Recoding predictors and selecting the correct NHANESsurvey weight
  •   Weighted screening of predictors vs. MASLD status
SESSION 2
Sunday, 30 September 2026 04:00 PM – 06:00 PM

Modelling MASLD Risk: Odds Ratios and Separation of Events

02
  •   Shortlisting predictors and fitting the survey weighted model
  •   Interpreting weighted odds ratios and confidence intervals
  •   Diagnosing separation of events in the NHANES predictor model
  •   Applying Firth’s penalised-likelihood correction
  •   Publication pathway for MASLD predictor analyses
Your Mentor

Meet the Faculty

Mentor

Dr. Nirosha Elsem Varghese

Founder & Research Mentor, Publish It™
  • 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
What You Receive

Everything included in your registration

2 Live and Interactive Sessions

Join two instructor-led live online sessions (4 hours total) where you'll work with the real NHANES dataset to identify predictors of MASLD using R. Learn through practical demonstrations covering NHANES data preparation, survey-weighted logistic regression, odds ratio interpretation, and advanced techniques for diagnosing and handling separation of events.

Session Recordings

Get unlimited access to the complete workshop recordings so you can revisit every coding demonstration, statistical concept, and modelling workflow at your convenience. Perfect for reinforcing your understanding and applying the techniques to your own research projects.

Workshop Materials & R Scripts

Receive a complete set of practical learning resources, including the R installation guide, presentation slides, MASLD outcome coding script, predictor assembly and weighted screening templates, survey-weighted logistic regression scripts, separation-of-events diagnostic checklist, Firth's correction examples, and additional reference materials to support your research.

Certificate of Completion

Earn a verifiable Publish It™ e-certificate after successfully completing the workshop. Showcase your training in NHANES data analysis, survey-weighted logistic regression, odds ratio interpretation, and handling separation of events using R on your CV, academic portfolio, or LinkedIn profile.

Workshop Details

NHANES (US Survey Dataset) in R: Predictors of MASLD — Logistic Regression, Odds Ratios & Handling Separation of Events

  • 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.

Joining details sent to your email · Limited seats Secured checkout · UPI / Cards / Net Banking
FAQ

Common questions

What is MASLD?+
MASLD (Metabolic dysfunction-Associated Steatotic Liver Disease) is the updated term for fatty liver disease linked to metabolic risk factors such as obesity, diabetes, and dyslipidemia. It replaces the earlier term NAFLD in current literature.
What is NHANES?+
NHANES (National Health and Nutrition Examination Survey) is a large, nationally representative US health dataset that combines interviews, physical exams, and lab data. It's widely used for epidemiological research, including studies on MASLD prevalence and risk factors.
Do I need prior experience with NHANES or R?+
No. The workshop is beginner-friendly and starts from the basics of defining a case in NHANES data and coding it in R. No prior R experience is needed.
What will I be able to do after this workshop?+
You'll be able to define MASLD in NHANES data, assemble and merge predictors correctly using SEQN, apply survey weights, fit a weighted regression model, interpret odds ratios, and identify and correct separation of events using Firth's method.
Why does survey weighting matter for NHANES analysis?+
NHANES uses a complex, multistage sampling design. Analyzing it without survey weights produces biased and non-generalizable estimates, so correct weighting is essential for valid inference.
What is "separation of events" and why does it matter?+
Separation happens when a predictor perfectly (or near-perfectly) predicts the outcome, causing standard logistic regression to fail or produce unstable estimates. This is common in smaller or imbalanced NHANES subgroups, and the workshop covers how to diagnose and correct it using Firth's penalised-likelihood method.
What software do I need?+
R (version 4.3 or higher) and RStudio, installed on your own laptop before the session.
Is this workshop specific to MASLD, or can I apply it to other NHANES-based research?+
The MASLD case study is used to teach a generalizable NHANES analysis workflow, so the same skills (data merging, weighting, modelling, correcting separation) apply to other NHANES-based research questions.
Will I get the R scripts and materials used in the session?+
Yes. You'll receive the R scripts, slide decks, the MASLD coding script, session recordings, and an e-certificate of completion.
Is this workshop useful for a publication?+
Yes. The workshop also covers the publication pathway for MASLD predictor analyses, so you leave with both the analytical workflow and a sense of how to take it toward a manuscript.