Biostatistics (SL_007)
About Study Course
Objective
To provide students with the opportunity to acquire basic knowledge and skills in statistical data processing methods (descriptive statistics, inferential statistics methods for evaluating differences and analytical statistics), which are necessary for the development of scientific research work and the application of statistical indicators in their specialty.
Prerequisites
Secondary school knowledge in mathematics and informatics.
Learning outcomes
After successfully accomplished study course, students will have acquired knowledge to:
Correctly interpret the main statistical tests;
Describe measurement results using statistical parameters.
Will be able to define the hypotheses of basic statistical tests;
Will be able to draw a normal distribution and calculate its main characteristic parameters;
Will be able to calculate Pearson and Spearman correlation coefficients;
Will be able to calculate and analyze the regression equation;
Will be able to calculate independent and dependent sample t-tests;
Will be able to perform Pearson's chi-square and Fisher's exact test;
Will know how to use the processing program IBM SPSS for data processing and visualization;
Will be able to assess the conformity of quantitative data with the existence of a normal distribution;
Will be able to perform analysis of variance (ANOVA);
Will be able to perform non-parametric tests - Mann-Whitney, Wilcoxon, Friedman and Kruskal-Wallis;
Will know how to perform Kaplan-Meier survival analysis;
Will be able to operate in the IBM SPSS computer program environment with data selection and perform the necessary calculations;
Will be able to formulate the necessary statistical tests for analysis; analyze your own data; will be able to adequately process them and draw consequential and justified conclusions.
As a result of learning the study course, students will be able to independently perform basic operations in the IBM SPSS environment, performing data processing, visualization and the necessary calculations.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Clinical Pharmacy, FFMp | 1 | Master’s | Required | Vinita Cauce |
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Clinical Pharmacy, FFMpz | 1 | Master’s | Required | Māra Grēve |
