Online Workshop on Econometric Modelling in Health Research using STATA

This Online Workshop on Econometric Modelling in Health Research using STATA is designed to equip health professionals and researchers with practical knowledge of using STATA for health data analysis, including DHS/NFHS survey datasets. From binary choice models to advanced interpretation techniques, this workshop offers step-by-step guidance in applying econometric tools to real-world health research questions.

Faculty

Dr. Arvind Yadav
Health Economist & Faculty
Kalinga Institute of Industrial Technology (KIIT)
Deemed to be University, Bhubaneswar, Odisha

Who Should Attend?

Faculty, MBBS/MD/MPH/PhD scholars, and professionals from medical, dental, nursing, and allied health fields interested in health data analysis and econometric methods.

What You Will Learn

Health Economics & Microdata

  • Introduction to econometrics in healthcare research
  • Overview of STATA and DHS/NFHS/Unit-level health survey datasets
  • Setting up STATA for econometric analysis

Binary Choice Models: Logit & Probit

  • Concept of latent variable models
  • Estimation and interpretation of Logit & Probit models
  • Practical examples: Maternal health service utilisation

Multinomial Models: mlogit & mprobit

  • Extending binary models to multiple categories
  • Model identification and assumptions
  • Estimating multinomial logit and probit models in STATA

Advanced Topics & Interpretation

  • Marginal effects
  • Odds ratios
  • Visualization of predicted probabilities
  • Model fit and goodness-of-fit testing

Workshop Details

Dates: 18-19 July 2025

Time: 6:00 PM – 8:00 PM (IST)

Mode: Online with 2 months of access to session recordings

Certificate: E-Certificate provided upon completion

Registration Fees

Early Bird Offer (valid until 2 July 2025): ₹899

Regular Fee: ₹999

For any queries, contact us at:
📞 +91 6283 286 558
📧 contact@mentormost.com
🌐 www.mentormost.com

How to register

Click the ‘Sign UP Now’ Button or scan the QR code on the poster