Curricula
Description
| OM00CA09 | Epidemiology and Biostatistics (3 cr) |
| Prerequisites | No prerequisites needed. |
| Objectives | The candidates should demonstrate fundamental knowledge and insight into epidemiology and biostatistics, not only for application in laboratory experiments and research, but also for understanding how to interpret clinical evidence in optometric practice. Knowledge and understanding should be demonstrated in the areas of: (1) epidemiological data (incidence and prevalence, odds, relative risk, central tendency and variability) (2) screening concepts (sensitivity and specificity, predictive value, yield), (3) research design, (4) morbidity and mortality. |
| Content | Epidemiological data (Incidence and prevalence, Odds ratio, Relative risk, Indices of health, Measures of central tendency and variability). Screening concepts (Sensitivity and specificity, Predictive value, Yield). Major epidemiological studies Research design (Descriptive and experimental studies, Case-control studies, Cross-sectional studies, Cohort studies (prospective and retrospective)). Morbidity and mortality (General morbidity and mortality patterns, General distribution of eye and vision disorders, Legal blindness (age-specific causes, age-specific rates)) |
| Recommended optional programme components | If necessary, the student advisor will recommend optional programme components for each student based on their individual study plan. |
| Accomplishment methods | Final exam. |
| Execution methods | Theoretical lectures and group works |
| Materials | Not applicable |
| Literature | Not applicable |
| Evaluation Criteria | 0-5 |
| Evaluation Criteria |
satisfactory (1-2) You recognize the population's health indicators. You recognize the importance of screening in health research. You recognize the basic principles of statistical thinking in health sciences. good (3-4) You can describe the health of the population by using different indicators. You can describe the importance of screening in health research. You know the basic principles of statistical thinking in health sciences. excellent (5) You can describe the health of the population in a variety of ways by using different indicators. You understand the importance of screening in health research. You understand the basic principles of statistical thinking in health sciences. |
| Assessment Frameworks | Not applicable |
| Further Information | Not applicable |
| Responsible persons | Leila Kemppainen |
| Links | Not applicable |
Implementations
Show old implementations
- 11.03.2024 - 05.05.2024 (OM00CA09-3007 | OPT23SP)
- 10.03.2025 - 11.05.2025 (OM00CA09-3008 | OPT24SP)
20.5.2024 12:29:26