HANOI MEDICAL UNIVERSITY

SCHOOL OF PREVENTIVE MEDICINE AND PUBLIC HEALTH

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Home » Department of Research Methodology and Biostatistics » [Data management, processing and analysis] Central Institute of Malaria - Parasitology - Entomology 2023
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[Data management, processing and analysis] Central Institute of Malaria - Parasitology - Entomology 2023

Published: 14:36 - 07/01/2022 Author: Lê Xuân Hưng 10:24 10/01/2023 Views: 1
🤖 AI Translation Notice: This article was automatically translated by AI from the official Vietnamese publication of the School of Preventive Medicine and Public Health (HMU). For official legal/administrative reference, please consult the original Vietnamese version →.
Subject: Scientific research Subjects: K15 PhD students, Central Institute of Malaria - Parasitology - Entomology




> Final exam format (computer test, essay, oral...): Theory test

> Conditions for completing the subject/module exam
  1. Participate in all practice sessions
  2. Number of theory sessions >80%
  3. Module score (assessment, feedback, lectures, surveys) > 80% (individual)
  4. Submit a summary personal product (end of course)

> Subject scores
= 50% multiple choice exam score + 40% syllabus + 10% coursework

Course score (10%) = Complete evaluation tests for each lesson + Complete all feedback forms after each lesson and at the end of the session

Test the evaluation of each lesson: will be reopened to help teachers know the knowledge gaps in the class. We ask you to voluntarily answer so that the teacher can best support you after each lecture and during class sessions in the lecture hall. The subject does not count scores, only requires complete completion and self-discipline.

Feedback formi: besides testing the evaluation of each lesson, the department requires all students to complete enough feedback forms so that the teacher can make adjustments to improve the quality of teaching.


Class schedule

Session Lecture
1 Overview of Medical Statistics and Research Variables
2 Data distribution
3 Descriptive statistics: Synthesize and summarize data
4 Instructions for practicing descriptive statistics on Stata (data management, data description)
5 Inferential statistics: estimation and testing
Select statistical tests to compare differences between quantitative variables (independent observations)
6 Select statistical tests to compare differences between qualitative variables (independent observations)
7 Compare pairs
8 Analyze the correlation between two variables (quantitative, qualitative)
9 Instructions for practicing Epidata software
10 Instructions for practicing inferential statistics using Stata software



(1) Log in to the electronic learning materials system here
> Use the email from gmail or google as declared above
> The department will introduce courses based on the registration list


(2) Complete course requirements on the electronic learning materials system here
Individuals complete according to the time specified on the system after each lesson

> Watch video lectures
> View course materials
> Do evaluation after each lesson
> Give feedback after each lesson


(3) Track progress on the electronic learning materials system here here

(4) Submit a summary personal outline on the electronic learning resource system here (end of course) here


PERSONAL NEWSPAPER
(request here)

  1. Submit printed copy: print and submit to the department
  2. Submit soft copy to the learning materials system

> References
  1. Document: Public health research methods | 2013 | Medical publisher

  2. Document guiding the development of medical scientific research outline | 2011 | Medical publisher

  3. Public health research methods | 2013 | Medical publisher

  4. Refer to the development of research outline

    • Questions that need to be answered in each part of the research proposal: refer here

    • Instructions related to presenting research proposals: refer here

    • Form for developing implementation progress here

  5. Register to download some electronic reference documents here

  6. Register to buy books here

> Contact information:

Subjects: Room 414, 4th Floor, Building A7, Hanoi Medical University, No. 1 Ton That Tung, Dong Da, Hanoi

Postgraduate teaching: Le Xuan Hung | lexuanhung@hmu.edu.vn | 0911196443

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