When: May 2026 – July 2026
Where: Virtual Sessions
Session Type: Participation via Expression of Interest
Organizing Institute: The George Institute for Global Health, India
Course Brief:
The NIHR Global Health Research Centre for Non-communicable Diseases and Environmental Change facilitated a training course on Planning, Reporting and Interpretation of Statistical Results in Health Research. Expertly led by Dr. Rashmi Pant from the George Institute for Global Health, India, the course had thirty-one participants from Indonesia, India, and Bangladesh. Delivered through the Global RT Moodle platform, the course featured interactive sessions, open-access reading material, and a end-of-course assignment designed specifically for the cohort, ensuring a rich learning experience.
Intended Learning Objectives:
- Identify and define outcomes and exposures and their levels of measurement.
- Distinguish between effect, effect measures and effect size.
- Interpret statistical results commonly reported in health research.
- Choose the right analytic methods to match the research question and study design.
- Identify key components of data analysis plan for their research.
Spanning over 4.5 hours, the training course offered pertinent insights and knowledge. The valuable aspects of the training, according to participants, included:
- Case based learning beyond theoretical concepts.
- Outlining of the detailed framework for statistical analysis.
- Learning how to formulate a strong research question and align it with study objectives, research designs, effective measures and analysis strategies.
As you measure, so shall you analyse!
Join Dr. Rashmi Pant as she walks us through the key definitions of outcomes & exposures, covers our fundamental understanding of effect & effect measures, and highlights the critical role that choosing appropriate effect measures plays in the statistical analysis of research questions.
Advocating for the diligent refinement of outcomes and effect sizes, Dr. Pant underscores their importance in disseminating research to diverse stakeholders.
Writing a statistical analysis plan aligned with research question and design
Join Dr. Pant as she delves deep into the iterative and collaborative process of writing a statistical analysis plan.
A thorough step-by-step guide of designing a statistical analysis plan that aligns with research questions while ensuring transparency and replicability.
Interpreting the effects and uncertainties
Learn more about the interpretation of effects and uncertainties in statistical analysis.
Join Dr. Rashmi Pant as she explores the distinction between statistical significance and clinical significance while underlining the critical role study design plays in the statistical interpretation of research data.
Participants praised the comprehensive and applicable nature of the course, asserting that
“The training provided practical knowledge, clear explanations, and hands-on learning that enhanced my understanding of research methods and their real-world application”
Dr. Pant also led a training course on exploratory data analysis covering a wide range of analysis methods, statistical techniques and tests, and more. Check it out here…
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This research was funded by the NIHR (NIHR203247) using UK international development funding from the UK Government to support global health research. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR or the UK Government.
