Biostatistics

This course provides a comprehensive introduction to biostatistics, emphasizing its application in analyzing and interpreting health data. It equips participants with the statistical tools and techniques necessary to conduct robust data analysis in public health, clinical research, and other health-related fields. Participants will learn foundational concepts in descriptive and inferential statistics, hypothesis testing, and various statistical methods. The course introduces software-based analysis using SPSS, covering tests for comparison (e.g., t-tests, ANOVA, chi-square) and regression techniques.

By integrating theoretical knowledge with practical applications, this course prepares participants to critically analyze data, draw meaningful conclusions, and communicate findings effectively. It is ideal for public health professionals, researchers, and students aiming to enhance their statistical skills.

1. Define biostatistics and its role in health sciences research and decision-making.
2. Differentiate between descriptive and inferential statistics.
3. Use descriptive statistics to summarize and present health data effectively.
4. Construct interval estimates and test hypotheses for various research scenarios.
5. Perform statistical tests such as t-tests, chi-square tests, and non-parametric tests to compare groups.
6. Conduct analysis of variance (ANOVA) and repeated measures analysis to evaluate multiple factors.
7. Use simple and multiple linear regression to identify and quantify relationships between variables.
8. Apply binary logistic regression for categorical outcome variables in health data.
9. Interpret and report statistical results in a clear and meaningful manner.
10. Assess the appropriateness of statistical methods used in health research.