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Trang chủ - Training

Seminar exchange on "International scientific articles: Writing and Publishing" at Hanoi University of Public Health

To share and discuss about some notable issues relating to scientific article writing and publishing in order to help health researchers orient to future publication   .

Training course on “Multilevel Modelling” in February, 2018, at the Hanoi University of Public Health

Introduction, application of multilevel modelling into researches in health sector.    .

Training course: "Data Envelopment Analysis: Theorem, application into of performance efficiency assessment"

Introduction, application of Data Envelopment Analysis (DEA) into performance efficiency assessement for decision making units (DMUs)   .

Training workshop on “Multilevel Statistical Modelling” organized at the Hanoi University of Public Health.

To introduce approach of multilevel statistical modelling and to practice and apply the approach of multilevel statistical modelling into current research projects in Vietnam .

Training workshop "Multilevel Modelling Method in Public Health" at Hanoi University of Public Health

To examine the Multilevel Modelling Method in tobacco control sector  .

Training course "Basic scientific research methodology: Research design, statistics and data analysis"

On 22 and 23 July, 2017, Center for Population Health Sciences has successfully organized the workshop "Basic scientific research methodology: Research design, statistics and data analysis" at the Hanoi University of Public Health .

Data collector training for research on health status and quality of life

Within the framework of the study " Status of health and quality of life of the people of Chi Linh, Hai Duong 2016 and some related factors ", training for data collectors were deployed from June 2-3, 2016.Staying abreast of the basic objectives, the questionnaires were designed to be .

Training course "Evidence-based medicine and applied health statistics"

Objective: To understand the definition of evidence-based medicine and the steps to apply evidence-based medicine To understand basic health statistics terms and apply statistical tests selection principles and interpret results of data analysis .