.
Methods of Mathematical Statistics in Health Sciences III
Study Course Description
Course Description Statuss:Approved
Course Description Version:3.00
Study Course Accepted:30.04.2024 09:15:08
| Study Course Information | |||||||||
| Course Code: | SL_045 | LQF level: | Level 8 | ||||||
| Credit Points: | 2.00 | ECTS: | 3.00 | ||||||
| Branch of Science: | Mathematics; Theory of Probability and Mathematical Statistics | Target Audience: | Medicine; Pharmacy | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Māra Grēve | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Statistics Unit | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | 14 Balozu street, Block A, Riga, +371 67060897, statistika rsu[pnkts]lv, www.rsu.lv/statlab | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 0 | Lecture Length (academic hours) | 0 | Total Contact Hours of Lectures | 0 | ||||
| Classes (count) | 4 | Class Length (academic hours) | 4 | Total Contact Hours of Classes | 16 | ||||
| Total Contact Hours | 16 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Successfully completed course “Methods of Mathematical Statistics in Health Sciences II”. | ||||||||
| Objective: | To promote scientific capacity in the field of statistical analysis during the process of data exploration according to the planned research design of the doctoral thesis. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | Multivariate analysis of variance (MANOVA). Difference between one-way and two-way ANOVA | Classes | 1.00 | computer room | |||||
| 2 | Mediation and moderation analysis. | Classes | 1.00 | computer room | |||||
| 3 | Practical work. Statistical analysis of own research data or an example from different research designs. | Classes | 1.00 | computer room | |||||
| 4 | Summary of learned statistical tests. Discussion of an actual data processing problem. Why is it important to plan data processing before the study begins? | Classes | 1.00 | computer room | |||||
| Assessment | |||||||||
| Unaided Work: | 1. Reviewing the choice of statistical methods used and interpretation of results reported in scientific publications. 2. Preparing data for analysis according to the planned research. 3. Confirming the choice of statistical methods used based in literature from the list of Required reading. | ||||||||
| Assessment Criteria: | A written example of conclusion based on statistical analysis results (100%). | ||||||||
| Final Examination (Full-Time): | Exam | ||||||||
| Final Examination (Part-Time): | |||||||||
| Learning Outcomes | |||||||||
| Knowledge: | On successful completion of the study course, students will have knowledge that will allow to recognise procedures necessary for reliable statistical analysis of the data. | ||||||||
| Skills: | On successful completion of the study course, students will be able to plan and implement statistical analysis procedures for individual work with data. | ||||||||
| Competencies: | On successful completion of the study course, students will be able to evaluate validity of the results of statistical analysis, write valid conclusions and participate in discussions about the statistical significance of the results. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| Required Reading | |||||||||
| 1 | Petrie, A., Sabin, C. Medical Statistics at a Glance. 4th edition, Wiley-Blackwell, 2020. | ||||||||
| 2 | Peat, J., Barton, B. Medical Statistics: A Guide to SPSS, Data Analysis and Critical Appraisal. 2nd edition, John Wiley & Sons, 2014. | ||||||||
| 3 | Field, A. Discovering Statistics using IBM SPSS Statistics. 4th edition, Sage Publications, 2018. | ||||||||
| 4 | Torgo, L. Data Mining with R: Learning with Case Studies. 2nd edition. Chapman and Hall/CRC, 2020. | ||||||||
| Additional Reading | |||||||||
| 1 | Tuncel, A., Atan, A. 2013. How to clearly articulate results and construct tables and figures in a scientific paper? Turkish Journal of Urology. 39 (Suppl 1): 16–19. DOI: 10.5152/tud.2013.048 | ||||||||
| Other Information Sources | |||||||||
| 1 | Laerd statistics. | ||||||||
| 2 | Praktiskā biometrija. | ||||||||
| 3 | Ārvalstu studentiem/For international students | ||||||||
| 4 | Laerd statistics. | ||||||||
