Learning Outcomes
With successful completion of the course, students will be able to:
Understand normal and sampling distributions, as well as hypothesis testing and confidence intervals.
Recognize the differences in the application of parametric and non-parametric tests for one or two samples.
Identify elements of clinical epidemiology, presenting categories of medical studies (experimental, observational, descriptive, cross-sectional, retrospective, prospective, randomized, patient-control studies).
Recognize morbidity and mortality indicators.
Identify clinical trials: phases and types.
Apply the knowledge required for the development and writing of their master's thesis.
Course Content (Syllabus)
In this course, the following will be analyzed:
A. Biostatistics Fundamentals:
Emphasis on data presentation and summarization.
Presentation of populations and samples.
Understanding of normal and sampling distributions.
Hypothesis testing and confidence intervals.
Differences in the application of parametric and non-parametric tests for one or two samples.
B. Clinical Epidemiology Fundamentals:
Presentation of medical study categories (experimental, observational, descriptive, cross-sectional, retrospective, prospective, randomized, patient-control studies).
Explanation of morbidity and mortality indicators.
Overview of clinical trials: phases and types.
The course will provide the basic and necessary knowledge for postgraduate students to progress to the final phase of the master's program, which requires the completion and writing of a master's thesis.