The Centre for Population Health (CePH), Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya will be organising the following 2-day workshop:
Title: Workshop on Introduction to REDcap
Fee: RM100 (Students), RM150 (Non-students)
Speaker: Dr ‘Abqariyah Yahya
29 May 2019 @ 08:00 – 09:00 –
The Department would like to invite you to the Faculty of Medicine, University of Malaya’s – Wednesday Morning Symposium on the 29 May 2019 at 0800-0900 at Clinical Auditorium. Dr Tharani Lognathan from the Department will be sharing her paper on “Breaking Down Barriers: Understanding Migrant Workers Access to Healthcare in Malaysia”.
01 Apr 2026 @ 12:30 – 13:30 – We are pleased to inform you that the SPM Journal Club Presentation, a collaborative initiative between DrPH and PhD students from the Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, will be organising a presentation as follows: Presenter: Dr Nur Balqis ZahirahTitle: The Development of Private Health Insurance in Malaysia: A Case Study […]
06 Sep 2018 – 07 Sep 2018 @ 08:00 – 16:00 – ABOUT THE WORKSHOP Data Management Why is Data Management important? – “Because data management is good research practice.” By managing your data well you can: Find and understand it when needed Avoid unnecessary duplication Validate your results if required Ensure your research is visible and has impact Get credit when others cite your work Comply […]
04 Jun 2018 – 05 Jun 2018 @ 08:30 – 17:00 –
The Generalized Linear Model (GLMz) expands the General Linear Model (GLM) so that the dependent variable is linearly related to the factors and covariates via a specified link function. GLMz allows for the dependent variable to have a non-normal distribution. GLMz covers widely used statistical models, such as linear regression for normally distributed responses, logistic models for binary data, logistic models for ordinal data, loglinear models for count data, complementary log-log models for interval-censored survival data, plus many other statistical models through its very general model formulation. The Generalized Estimating Equations (GEE) procedure extends the GLMz to allow for analysis of repeated measurements or other correlated observations, such as clustered data
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