Research and Statistical Methods

This course equips participants with practical skills to address the region's research challenges, focusing on hands-on guidance for conducting and publishing research. It covers designing unbiased studies, avoiding common pitfalls, and interpreting research articles. Participants will also learn statistical analysis techniques for biomedical data and healthcare records using SPSS.

By the end, they will confidently navigate the research and publishing process, perform statistical analyses, and critically evaluate findings, improving their chances of getting published in top journals.

1. Create unbiased and efficient health research studies by designing comprehensive research protocols and addressing common challenges.
2. Evaluate and critique research articles in medical literature by identifying strengths, weaknesses, and potential biases.
3. Apply essential concepts of hypothesis testing, statistical inference, and modeling techniques to real-world health science data.
4. Analyze biomedical data and research databases using SPSS, selecting the appropriate statistical procedures for different data types.
5. Interpret results from statistical analyses, draw valid conclusions, and effectively communicate findings in written reports.
6. Synthesize knowledge gained to enhance the quality and impact of research publications, increasing the likelihood of successful peer review and citation.