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Event: 'Multivariable Analysis Using Stata: Beyond Basics' Print
Date: Monday, January 15, 2018 At 09:00 AM
Duration: 5 Days 1 Hour

January 15 - 19, 2018

Last date of registration – Jan 1, 2018

About the workshop

Multivariable analysis is a power full statistical tool to explore associations and define causal effect between exposures and health outcomes. In the recent past these regression techniques are being undertaken commonly due to wide availability of statistical packages and gain in basic statistical skill among researchers. While multivariable approaches is a very flexible method, it can also go wrong if adequate care is not taken while building the model, testing the model adequacy, reporting the output and above all interpreting the results. Many a times the under lying assumptions of a model is not met due to non-normality, non-linearity of relationship between predictor and outcome, dependency of outcome and multicollinearity of predictors, While there are solutions for every problem, these solutions are not readily available or understood by non-statisticians.

This five day workshop is aimed at enabling researchers (with basic multivariable modeling skills) in gaining further insight into the nuances of model building, problem solving and appropriate interpretation and reporting of statistical results. Apart from the theoretical aspects, hands on training in Stata using example data sets will be undertaken. At the end of the workshop we expect the participants be able to build a multivariable model given the research question and report appropriately.


  • Overview of basic regression technique
  • Principles of model building
  • Handling specific issues during model building
    • Nonlinearity of continuous predictors using spline functions
    • Multicollinearity
    • Correlated outcomes due to repeated measurements
    • Data reduction techniques
    • Handling missing outcomes
    • Modelling count data
  • Proportional hazard assumption in survival analysis
    • What to do if assumptions are not met
    • General techniques for checking and reporting model adequacy
    • Overview on prediction models
    • Reporting multivariable analysis (TRIPOD statement)
  • About the faculty

    Dr Niveditha Devasenapathy, Associate Professor is a medical doctor by training and is a full-time faculty at the institute. She has formal training in clinical trials, epidemiology and applied bio-statistics. She has around 12 years of experience in the field of health research and applied statistics. She is involved in design and conduct of in-house academic programs in health research and has the experience of having conducted several workshop to health professionals of diverse background.

    Registration Fee

    Indian National: 12500 INR per participant

    International Participant: 25000 INR per participant

    The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

    Who Should Attend

    This workshop is suitable for researchers of public health, clinical care,social and behavioral sciences. Participants applying for this workshop are expected to have a strong hold on basic statistics and regression analysis using any statistical software package preferably Stata.

    How to apply?

    Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.

    Key Contact Person

    Ms Tanuja Bhandari, Assistant Manager – Program (Training) Indian Institute of Public Health-Delhi Public Health Foundation of India Plot 47, Sector 44, Institutional Area, Gurgaon-122002, Haryana, India (Tel: +91 124 4722900 (Extn:4110) Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

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