Course description
Statistical methods in health research; concepts, data analysis and interpretation of results in health research; statistical methods for hypothesis testing of parametric and nonparametric analysis; description of samples, two-sample t-test, analysis of variance (ANOVA), correlation and simple linear regression, Chi-square test, non-parametric test; statistical software packages in computer laboratory
Prerequisites
Graduate in Bachelor degree in Health sciences, computer sciences, and ICT.
LO: Learning Outcome
- Describe the basic knowledge of statistics in biomedical research and health science
- Differentiate types of data arising in public health and clinical studies to use the statistical tests properly.
- Apply an appropriate statistical test of a hypothesis for analyzing the sampled data.
- Select an appropriate statistical test of a hypothesis based on types of data for analyzing the sampled data
- Interpret and draw conclusions from the data analysis to describe the results supporting for the study or research.
- Work constructively in teams to participate in reviewing and criticizing study design and statistical methods in selected research problem
Course Features
- Lectures 32
- Quiz 1
- Duration 60 hours
- Skill level All levels
- Language English
- Students 61
- Certificate No
- Assessments Yes
Curriculum
- 7 Sections
- 32 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Week 1: Introduction to Statistics6
- Week 2: Descriptive Statistics6
- Week 3: Hypothesis testing7
- Week 4: Analysis of continuous data7
- 5.1Hypothesis tests for continuous data introduction
- 5.2Analyses of continuous data: One and Two group comparison
- 5.3Assignment W4.1: Analysis of continuous data one and two group comparison
- 5.4ANOVA, A visual introduction by Brandon Foltz
- 5.5Analyses of continuous data: Three or more group comparison
- 5.6Assignment W4.2: Analysis of continuous data three or more group comparison
- 5.7Course Evaluation Week 4
- Week 5: Correlation & Regression5
- Week 6: Analysis of count data5
- Week 7: Non-parametric test3
