Sensitivity, Specificity, Hazard Ratio, Life Tables, Clinical Statistic, SPSS, SPSS Result Interpretation & Reporting
Description
Looking for clarity in understanding statistical analysis in health studies? You’ve found the right place! Whether you’re a healthcare professional keeping up with advancements in your field or a medical student uncertain about conducting research, this course is for you. Gain confidence in comprehending statistical results like “confidence interval” and “p-value” and enhance your research abilities.
Statistics play a crucial role in designing, conducting, analyzing, and reporting clinical trials, minimizing bias and controlling confounding variables and measurement error. Understanding statistical techniques is vital in comprehending randomized trial procedures and outcomes. In this course, we cover important clinical statistical tests such as sensitivity, specificity, life tables, hypothesis, probability, hazard ratio, data types, distribution and its types, and more.
In addition to the aforementioned topics, the course will also address practical applications of statistical analysis in real-life clinical scenarios. You will have the opportunity to work on case studies and hands-on exercises to apply the concepts learned. Dr. Muhammad will be available to provide individualized guidance and support to ensure your success in understanding and using statistical analysis in your work. Whether you are a healthcare professional, medical student, or researcher, this course will equip you with the skills and knowledge you need to confidently interpret and apply statistical analysis in your field.
This course provides a straightforward introduction to interpreting common statistical concepts without diving into complicated calculations. It includes information on SPSS usage, result interpretation, and interpretation. Take the first step in understanding the healthcare literature by gaining a solid foundation in these statistical ideas. Join us now!
Who this course is for:
- Medical Students, Nurses, Research Scholars, Students, Policy Makers, Teaching faculty, Academicians
- Early Career Researchers, Health Professional Research Groups
- PhD scholars and Graduate Students
- Health Professionals
- Doctors, Pharmacy, Nurses and Medical Graduate
