> Subject: Introduction Biostatistics | Class: Master of Public Health (International Program)
> All classes will be delivered face-to-face at R414, A7 Building, Hanoi Medical University.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 assignments on the e-learning system here >> (4) Follow the progress on the e-learning system here >> (5) Submit the final assignment on the e-learning system here (end of course)
All the course's activities have to be done through the learning platform.
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(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 assignments on the e-learning system here
Students submit 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
> Grade components: Final grade = 10% course requirements + 40% project + 50% written exam
