This course has a similar content as “Applied statistics” at the medical faculty, LU.
The course includes the following three blocks:
1) Introduction to medical statistics
a. Study design
b. Generalizability
c. Basic statistical concepts
d. Descriptive statistics
2) Parameter estimates and hypothesis testing
a. Basic principles
b. P-value, confidence intervals and statistical power
c. Common statistical tests for comparing two groups
3) Data management
a. Create and validate datasets
b. Documentation
c. Basic knowledge in a statistical package (SPSS)
d. Reproducible analyses (script-based)
This course discusses questions that can be studied through quantitative methods. The course discuss common statistic concepts different measures of dispersions and proper graphical techniques to visualize and study characteristics of the collected data. The course will also introduce concepts like parameter estimation, and uncertainty will be discussed and described through standard errors and confidence intervals. Additionally hypothesis testing, p-values and statistical power are introduced. The course will also cover basic tests for comparing two groups e.g., t-test, Mann-Whitney, Chi-square and Fisher’s exact test.
Focus will be on interpretation and on which conclusions can be drawn from the results based on statistical significance, evidence, effect size and generalizability.
The course also includes a practical introduction to a statistical package (SPSS). This session focuses on principles for data management but the participants’ will also get the opportunity to conduct the statistical analyses covered in the course.
