HANOI MEDICAL UNIVERSITY

SCHOOL OF PREVENTIVE MEDICINE AND PUBLIC HEALTH

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[Data Management, Processing, and Analysis] National Institute of Malariology, Parasitology and Entomology

Published: 14:36 - 07/01/2022 Author: Phan Thanh Hải 12:27 16/02/2022 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 →.
Course: Scientific Research Target Audience: PhD Candidates (Cohort 14), National Institute of Malariology, Parasitology and Entomology




> Final Examination Format (computer-based test, essay, oral, etc.): Theoretical multiple-choice test

> Eligibility for Final Examination/Module Assessment
  1. Attendance at all practical sessions
  2. Theoretical session attendance > 80%
  3. Module score (assessments, feedback, lectures, surveys) > 80% (individual)
  4. Submission of individual summary report (at the end of the course)

> Module Grade
= 50% multiple-choice test + 40% research proposal + 10% module participation

Module Participation (10%) = Completion of all formative assessments per lesson + Completion of all feedback forms after each lesson and at the end of the course

Formative Assessment per lesson: These will be reopened to help instructors identify knowledge gaps within the class. Students are expected to complete these independently so that instructors can provide optimal support after each lecture and during classroom sessions. The Department does not grade these; completion and academic integrity are the only requirements.

Feedback Form: In addition to the formative assessments, the Department requires all students to complete feedback forms to enable instructors to improve teaching quality.


Course Schedule

Session Lecture
1 Introduction to Medical Statistics and Research Variables
2 Data Distribution
3 Descriptive Statistics: Data Synthesis and Summarization
4 Practical Guide to Descriptive Statistics using Stata (data management, data description)
5 Inferential Statistics: Estimation and Hypothesis Testing
Selecting statistical tests to compare differences between quantitative variables (independent observations)
6 Selecting statistical tests to compare differences between qualitative variables (independent observations)
7 Paired Comparisons
8 Correlation Analysis between 2 variables (quantitative, qualitative)
9 Practical Guide to Epidata Software
10 Practical Guide to Inferential Statistics using Stata Software




(1) Log in to the E-learning system here
> Use the Gmail or Google account previously declared
> The Department will enroll students in the course based on the registration list


(2) Complete course requirements on the E-learning system here
Individuals must complete requirements within the specified timeframe on the system after each lesson

> Watch lecture videos
> Review course materials
> Complete formative assessments after each lesson
> Complete feedback forms after each lesson


(3) Track progress on the E-learning system here

Zoom Naming Convention

1. Access the link here

2. Copy your name as listed in the Zoom column

3. Update your Zoom account name when joining the class. Refer to instructions on how to change your name here

4. Raise your hand when you need to speak. Refer to instructions on how to raise your hand in Zoom here

(4) Attendance on Zoom

1. Students who do not turn on their webcam will be automatically hidden -> attendance will not be counted (automated system)

2. Students who turn on the camera but do not show their face -> attendance will not be counted (screenshot verification)

3. Students who are called upon but do not respond -> attendance will not be counted

Note:

Several cases have been identified where students:

1. Use a static profile picture of themselves sitting

2. Or use a video loop to bypass the webcam requirement

3. Turn on the webcam but are not present

Procedures for leaving during class

1. When you need to step away, send a message on the system to be recorded

2. The Department will cross-check the timestamp of the screenshot against the message (5-10 minutes prior) to verify permission.

3. Other cases will be marked as unexcused absences

(5) Submit individual summary research proposal on the E-learning system (at the end of the course) here

INDIVIDUAL SUMMARY RESEARCH PROPOSAL (3-4 pages, template here)

  1. Hard copy submission: print and submit to the Department
  2. Soft copy submission on the E-learning system

> References
  1. Textbook: Public Health Research Methodology | 2013 | Medical Publishing House

  2. Guide to Developing Medical Research Proposals | 2011 | Medical Publishing House

  3. Public Health Research Methodology | 2013 | Medical Publishing House

  4. References for research proposal development

    • Questions to address in each section of the research proposal: reference here

    • Guidelines for research proposal presentation: reference here

    • Template for implementation timeline here

  5. Register to download electronic reference materials here

  6. Register to purchase books here

> Contact Information:

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

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

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