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Methods of Mathematical Statistics in Health Sciences I
Study Course Description
Course Description Statuss:Approved
Course Description Version:3.00
Study Course Accepted:30.04.2024 09:13:25
| Study Course Information | |||||||||
| Course Code: | SL_043 | 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) | 2 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 4 | ||||
| Classes (count) | 4 | Class Length (academic hours) | 3 | Total Contact Hours of Classes | 12 | ||||
| Total Contact Hours | 16 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Knowledge of mathematics and informatics is required. | ||||||||
| Objective: | To provide knowledge of the basic concepts of statistics; create awareness of the role of evidence-based medicine in health care. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | The role of statistics in the research process. Descriptive statistics and inferential statistics. Testing statistical hypothesis with P-value and confidence intervals. | Lectures | 1.00 | auditorium | |||||
| 2 | Types of data and measurement scales. Normal distribution. Vast range of statistical methods. | Lectures | 1.00 | auditorium | |||||
| 3 | Preparing data for Jamovi program. Descriptive statistics, one sample statistical tests | Classes | 1.00 | computer room | |||||
| 4 | Statistical tests for independent observations (parametric and nonparametric tests). | Classes | 1.00 | computer room | |||||
| 5 | Statistical tests for dependent observations (parametric and nonparametric tests). | Classes | 1.00 | computer room | |||||
| 6 | Data analysis of student data or database data. Practical exercises, working in groups. | Classes | 1.00 | computer room | |||||
| Assessment | |||||||||
| Unaided Work: | 1. Creating the table with names of variables, examples of data and their corresponding measurement scales of the current or planned research. 2. Reading literature from the list of Required reading according to topics of lectures and classes. 3. Reviewing examples of descriptions of statistical methods used in scientific publications. | ||||||||
| Assessment Criteria: | Solved practical tasks, working individually or in groups (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 the statistical terminology and the basic methods used in various publications. | ||||||||
| Skills: | Upon successful completion of the study course, students will be able to: • Correctly prepare and enter data in the Jamovi; • Create and edit tables and charts; • Select appropriate methods of data processing, incl. performing statistical hypotheses testing. | ||||||||
| Competencies: | On successful completion of the study course, students will be able to correctly interpret the most important statistical indicators and to use the acquired basic statistical methods in the study data processing. | ||||||||
| 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. | ||||||||
| Additional Reading | |||||||||
| 1 | Simpson, S. H. 2015. Creating a Data Analysis Plan: What to Consider When Choosing Statistics for a Study. Canadian Journal of Hospital Pharmacy. 68(4): 311–317. DOI: 10.4212/cjhp.v68i4.1471 | ||||||||
| 2 | Koo, T. K., Li, M. Y. 2016. A Guideline of Selecting and Reporting Intraclass Correlation coefficients for Reliability Research. Journal of Chiropractic Medicine. 15(2), 155–163. DOI: 10.1016/j.jcm.2016.02.012 | ||||||||
| 3 | Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S., N., and Altman, D. G. 2016. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol. 31(4): 337-350. DOI: 10.1007/s10654-016-0149-3. | ||||||||
| 4 | Andrade, C. 2016. Understanding relative risk, odds ratio, and related terms: as simple as it can get. J. Clin Psychiatry. 76(7): 857-861. DOI: 10.4088/JCP.15f10150. | ||||||||
| 5 | Hopkins, S., Dettori, J. R., Chapman, J. R. 2018. Parametric and Nonparametric Tests in Spine Research: Why Do They Matter? Global Spine J. 8(6): 652–654. DOI: 10.1177/2192568218782679 | ||||||||
| 6 | Nahm, F. S. 2016. Nonparametric statistical tests for the continuous data: the basic concept and the practical use. Korean J. Anesthesiol. 69(1): 8–14. DOI: 10.4097/kjae.2016.69.1.8 | ||||||||
| 7 | Schober, P., Vetter, T. R. 2021. Linear Regression in Medical Research. Anesth Analg. 132(1):108-109. DOI: 10.1213/ANE.0000000000005206. | ||||||||
| 8 | Charan, J., Biswas, T. 2013. How to Calculate Sample Size for Different Study Designs in Medical Research? Indian J Psychol Med. 35(2): 121–126. DOI: 10.4103/0253-7176.116232 | ||||||||
| Other Information Sources | |||||||||
| 1 | Laerd Statistics. Available from: https://statistics.laerd.com/ | ||||||||
