TMHG531 Statistics in health science
Statistical methods in biomedical research. Concepts, data analysis and interpretation of results in biomedical research and health sciences. 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. Using statistical software packages in computer laboratory.
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
- Lectures 0
- Quizzes 0
- Duration 60 hours
- Skill level All levels
- Language English
- Students 0
- Assessments Yes