Course Information: Introduction to Biostatistics | Class: Master of Public Health (International Program)

  • 22/03/2022

> Subject: Introduction Biostatistics | Class: Master of Public Health (International Program)

> Schedule: here

> All classes will be delivered face-to-face at R514, A7 Building, Hanoi Medical University.

> The online link is applicable for 
1. Students who are not in Vietnam 
2. Students who are F0 or in quarantine (with confirmation of local authorities) 

> Online link of 1st class day (8.30 am, Monday 21/3/2022):

Meeting ID: 966 0398 6712
Passcode: BMTK2022


Process of the course

(1.1) Register here (ONLY WITH GMAIL, click Register, and fill out the required information). List of successful registration here  >> (1.2) Log in to the e-learning system here (wait for approval from Department) >> (2) Complete the course requirements on the e-learning system here >> (3) Submit the group assignments on the e-learning system here >> (4) Follow the progress on the e-learning system here >> (5) Submit the group proposal on the e-learning system here (end of course) 

All the course's activities have to be done through the learning platform.

> Grouping requirements:

  1. Maximum 5 members per group
  2. Groups are self-selected (students actively discuss and form groups)

---------------------

(1.1) Register here 

Only register once with the @gmail.com email address

> After registering, you will receive a confirmation letter from the Department. If you do not receive the confirmation email, don't hesitate to contact the Department for correction. Do not register multiple times

> No registration, no grouping

> Registration time: within the first day of the course

(1.2) Log in to the e-learning system here (wait for approval from Department)

> Use the registered email

> Students will be registered in the course based on the registration list

> Time: within the first day of the course

(2) Complete the course requirements on the e-learning system here

Students complete the following tasks according to the time specified on the scheduled after each lesson

> Watch video lessons

> View course materials

> Do the test after each lesson

> Submit feedback after each lecture

(3) Submit group assignment on the e-learning system here

Group representative submits the required assignment of each lesson within the specified time.

(4) Follow the progress on the e-learning system here


Course outline

Lesson

Content

Requirement

Deadline

1

Introduction to Biostatistics Complete registration
- Subject
- E-learning system
- Group registration

Before 13:00 next day

2

Normal and other distributions 1. Each member of the group finds at least 1 article related to the given topic (see Dataset and Instructions)
2. Presenting summary results
- Title of the article
- Dependent variable, independent variable (variable type, value/unit of variable)
- Subjects
- Research methods
- ....

Before 13:00 next day

3

Descriptive Statistics (Summary statistics and variation in data, Presenting data) 1. List the methods, descriptive statistics parameters and presentation of results used in the articles
2. Propose methods, descriptive statistics parameters and result presentation for the topic of your group

Before 13:00 next day

4

Practice descriptive statistics Present the results of descriptive statistics for the topic of your group Before 13:00 next day

5

Sample size estimation 1. List the formula for sample size calculation, sample size, and sampling method of the articles
2. Propose a formula to calculate sample size, sample size and sampling method for the topic of your group

Before 13:00 next day

6

Sample size estimation: working exercise Present the results of sample size calculation, sample size and sampling method for the group topic

Before 13:00 next day

7

Confidence Interval and Hypothesis Testing (Statements of probability and confidence intervals; Hypothesis, p-
values, power, type I and type II errors)
1. List the statistical tests and presentation used in the articles
2. Comment on the application and presentation of statistical tests of the articles
3. Propose statistical tests and presentations for the topic of your group

Before 13:00 next day

8

Comparing Independence Variables (Comparing the means (normal and non-
normal data); Comparing independent proportions)
1. Summarize the results of inferential statistics applied in the articles
2. Sort the statistical methods in the articles by variable types and comment on their use
3. Propose inferential statistics and presentation of results for the topic of your group

Before 13:00 next day

9

Correlation and regression 1. List the correlation/regression methods and their presentation applied in the articles
2. Propose the correlation/regression method and presentation of results for the group's topic

Before 13:00 next day

10

Practice inferential statistics Present the results for the group's topic
- Testing
- Comparison
- Correlation/regression

Before 13:00 next day

11

Introduction to Meta-analysis 1. Each member finds a review article on the topic of the group
2. Summarize the results of the article

Before 13:00 next day

12

Practice Meta-analysis 1. Summarize results presented in the articles
2. Propose presentation of results for the group's research topic in the form of a review study

Before 13:00 next day

 

> Conditions for eligibility of final exam

  • Attendance in all practice sessions
  • Attendance in >80% of theoretical sessions
  • Progress score (assessment, feedback, lecture, survey) > 80% (scored individually)
  • Submit group assignment of every lecture on time
  • Submit an group report on time (at the end of course)

> Grade components: Final grade = 10% course requirements + 40% project + 50% written exam

  • 10% course requirements = Complete the assessment tests for each lesson + Complete the feedback sheets after each lesson and at the end of the session
  • 40% project = Group report

> Rules for naming on Zoom

  • All students are required to put their Full names while attending the class. 
  • See how to change your name here
  • When you need to speak, please raise your hand. See how to raise your hand here

> Attendance on zoom
  • If the webcam is not turned on, students will be automatically hidden and not counted in-class participation (automatically recorded)
  • Webcam turned on, but students do not show up -> not counted in-class participation (recorded by screenshot)
  • Students called by lecturer do not answer -> marked as absent
> In case you need to go out during class
  • Please send a message to the chatbox when students need to go out. If you did not show up on the screenshot, the message (within 10 minutes before the screenshot time) would save you from losing attendance.
  • Other reasons are not acceptable
Contact:
  • Post-graduate officer: Le Xuan Hung | lexuanhung@hmu.edu.vn | 0911196443
  • Department of Research Methodology and Biostatistics: Room 414, A7 building, Hanoi Medical University No. 1 Ton That Tung, Dong Da, Hanoi