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Event: Multilevel Modeling In Health Research Using Stata

Date:July 24 – 28, 2017 (Monday to Friday)
Last date of registration: Last date of registration – July 10, 2017

About the course
Individual’s health and behavioral outcomes are dependent on several factors arising not just from the individual self but also from surrounding contexts like family, neighborhood, workplace, social organizations and health care facilities. Only multilevel research can examine the effects of one factor at one level while controlling for potential confounding at another level or examine the interactions among factors situated at different levels. Understanding the interplay among etiologic factors situated at different levels of analysis will enable interventions to be targeted with greater precision, thus better ensuring their success. Multilevel modeling (MLM) techniques are designed to explore and analyze data that have hierarchical or clustered structure which is very common in data collected in the biological and social sciences.

This five day workshop organized at the Indian Institute of Public Health- Delhi aims to impart basic understanding in the concept behind multilevel models, formulate questions that can be answered by these models, and build a model for a given research question using Stata 14/MLwin and interpret statistical outputs. The workshop will consist of lectures, discussion of case studies and hands on practice Stata sessions using datasets.

Contents
Review of standard linear and logistic regression models
Recognizing hierarchical structures in data
Accounting for clustering using
Robust variance method
Generalized Estimating Equation method (GEE)
Random Effect Methods (REM)
Using random effects to explore individual variation in outcomes
Analysis of Panel data/ Longitudinal data/ Repeated measurements
Exploring cross level interactions
Building a multilevel model in MLwin
Interpretation and reporting of fixed and random effects

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.

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

How to Apply?
Interested participants may email their completed registration form at trainings@iiphd.org 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.

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