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| Course Description |
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| Course Name |
: |
Statistical Methods in Epidemiology I |
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| Course Code |
: |
BİS521 |
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| Course Type |
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Compulsory |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
5 |
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| Name of Lecturer(s) |
: |
Prof.Dr. HÜSEYİN REFİK BURGUT
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| Learning Outcomes of the Course |
: |
Knows the research methods in Epidemiology
Knows the criterion obtained from researches
knows the practice and purpose of these criteria
determines the number of participants in a study
knows how to analyze and interpret the research findings
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
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None |
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| Aim(s) of Course |
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To learn about the research methods used in epidemiology, which investigates the causes and distribution of diseases ,to determine the proper method and when to use it, to be aware of the minuses and pluses, to decide on the criteria to summarize the data, to learn about the estimation methods and significance test practices for criteria such as prevalence, incidence, estimated risk, relative risk, estimated relative risk, absolute risk |
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| Course Contents |
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Epidemiological research methods: disease burden and measures,prevalance, disease risk and its measures: relative risk, odds ratio, hypothesis testing on risk measures, confounding and interaction, standardization, survival data and summary measures, hypothesis testing on survival curves, determination of sample sizes, and modelling of binary and quantitative data |
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| Language of Instruction |
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Turkish+English |
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| Work Place |
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Informatic Lab in Biostatistics |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Introduction to the research methods in epdemiology |
reading the 5th chapter in the refrence book #1 |
reading |
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2 |
Introduction to research methods in epdemiology |
reading the relevant chapters in refrence books #2 and 3 |
reading |
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3 |
Disease burden and its measures, prevalence |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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4 |
disease risk and measures for disease risk |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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5 |
risk ve relative risk, odds and odds ratio |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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6 |
significance tests on risk measurement |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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7 |
Test of association: equality, one sided , corections, Fisher exact test and limitation on tests |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
|
8 |
Onfounding and interactions, methods for corrections: direct and indirect standardisation, Mantel-Haenszel methods, testing for interaction |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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9 |
Onfounding and interactions, methods for corrections: direct and indirect standardisation, Mantel-Haenszel methods, testing for interaction |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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10 |
MIDTERM EXAM |
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|
11 |
Cohort studies: life table, Kaplan Meier , Mantel Haenszel and log rank tests |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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12 |
Defining persons yers and use |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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13 |
Case control studies: dichotomous and polytomous exposures, confounding and intgeraction, risk measures and matching |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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14 |
Saple size determination in various epidemiological studies |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
|
15 |
modeling binary and quantitative outcome variables |
reading the relevant chapters in reference books #2 and 3 |
reading and homework |
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16/17 |
FINAL EXAM |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
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| |
| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
40 |
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Homeworks/Projects/Others |
1 |
60 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Students design scientific research studies in order to give response to the problem arising from health and clinical sciences |
4 |
|
2 |
Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. |
3 |
|
3 |
Students collect data from research studies, analyze, and make inferences |
4 |
|
4 |
Students design health survey, determine the sampling method and conduct the survey |
3 |
|
5 |
Students knows the system of international classification of diseases, obtain and analyze hospital statistics. |
0 |
|
6 |
Students select the appropriate statistical procedure for analysis , apply and make inferences. |
4 |
|
7 |
Students use the necessary statistical packages for analysis, if necessary write and develop software. |
0 |
|
8 |
Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. |
2 |
|
9 |
Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). |
4 |
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10 |
Students explain demographic terminologies and statistical methods in the field of health sciences. |
3 |
|
11 |
Students understand and use medical terminology. |
2 |
|
12 |
Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence |
3 |
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13 |
Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. |
4 |
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14 |
Students follow the latest development in medical informatics and employ frequently used tools and methods. |
0 |
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15 |
Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test. |
3 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
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Homeworks, Projects, Others |
1 |
10 |
10 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
10 |
10 |
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Final Exam |
1 |
20 |
20 |
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Total Workload: | 124 |
| Total Workload / 25 (h): | 4.96 |
| ECTS Credit: | 5 |
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