CEBP Workshop Series | JAMOVI for Beginners: Data Analysis Made Simple

CEBP Workshop Series | JAMOVI for Beginners: Data Analysis Made Simple

When

03 Jul 2026    
09:00 - 12:00

Where

TDR Regional Training Centre in Western Pacific Region
TDR Regional Training Centre in the Western Pacific Region (SPM Studio), Department of Social and Preventive Medicine, Level 1, Block J, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, 50603

Event Type

The Centre for Epidemiology and Evidence-Based Practice (CEBP), Faculty of Medicine, Universiti Malaya, will be organising a session of the CEBP Workshop series titled “JAMOVI for Beginners: Data Analysis Made Simple.”

This workshop is designed to introduce participants to the fundamentals of statistical analysis using Jamovi, an open-source and user-friendly statistical software widely used in health and social science research. The session will focus on simplifying data analysis through a practical, hands-on approach, enabling participants to manage datasets, perform descriptive statistics, conduct basic inferential tests, and interpret outputs with confidence.

By the end of the workshop, participants are expected to gain greater confidence in handling quantitative data and understanding how statistical findings can be translated into meaningful insights for public health research and practice.

🗓 Dates: 3 July 2026 (Friday)

🕘 Time: 9.00 am – 12.00 pm MYT

📍 Venue: TDR Regional Training Centre in Western Pacific Region (SPM Studio), Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya

💰 Fee: RM50

Speakers

Professor Dr Sanjay Rampal Lekhraj Rampal

Dr Sanjay Rampal is Executive Director of Research Development at Universiti Malaya and Professor of Epidemiology and Public Health. Medically trained in India, he served in Malaysia’s Ministry of Health before earning an MPH from Harvard and a PhD from Johns Hopkins. Since joining Universiti Malaya in 2005, Dr Rampal has advanced Malaysia’s public health research capacity, focusing on the epidemiology and prevention of cardiovascular and metabolic diseases, cancer, and communicable diseases such as dengue. His methodological expertise spans research design, biostatistics, and causal inference. He has published 122 peer-reviewed papers (h-index: 38 WOS, 39 SCOPUS) and supervised over 65 postgraduate students.

Dr Rampal has held major leadership roles, including Deputy Dean (Research) and Head of the Department of Social & Preventive Medicine, driving transformative growth in research and education. He has led regional and global collaborations, chaired national speciality committees, and contributed to Malaysia’s COVID-19 response through research, policy, and public communication. As a Fellow of the Academy of Medicine Malaysia and a global leader, Dr Rampal is dedicated to advancing public health through research excellence, education, and collaborative leadership.

Dr Ng Yit Han

Dr Ng Yit Han is a Senior Lecturer in Public Health at the Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya. He completed his Master of Public Health (MPH) with Distinction and Doctor of Philosophy (PhD) in Public Health at Universiti Malaya, reflecting his strong academic grounding within the department.

Dr Ng has expertise in biostatistics and epidemiology, with a focus on applying advanced statistical modelling to inform public health and clinical decision-making. He is proficient in analytical tools such as SPSS, JAMOVI, and R, and has experience in handling complex datasets and developing predictive models.

His research interests centre on non-communicable diseases, particularly the role of lifestyle and occupational factors in shaping health outcomes. His doctoral work involved the development of a Healthy Lifestyles Index and its application in predicting Type 2 Diabetes Mellitus risk among teachers in Malaysia.

Dr Ng is actively involved in teaching, research supervision, and methodological support for postgraduate students, contributing to strengthening analytical capacity and evidence-based practice in public health.

This workshop is suitable for postgraduate students, early-career researchers, and public health practitioners who wish to strengthen their data analysis skills using an accessible statistical tool.

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