| Course Description |
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| Course Name |
: |
Statistical Methods in Epidemiology II |
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| Course Code |
: |
BİS522 |
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| Course Type |
: |
Compulsory |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Spring (16 Weeks) |
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| ECTS |
: |
4 |
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| Name of Lecturer(s) |
: |
Prof.Dr. HÜSEYİN REFİK BURGUT
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| Learning Outcomes of the Course |
: |
designs epidemiological research studies
knows the type of data from different designs
uses different analysis methods according to the purpose
selects appropriate models according to data properties, tests and evaluates the appropriateness of the models,
appliies different models for simple logistic regression, poisson regression, and repeated data
uses the SPSS, SAS, R functions for the selection and application of these models
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|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
BİS521 Statistical Methods in Epidemiology I
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|
| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
To analyze the data obtained from various epidemiological research methods by using certain measures and modelling and to make inferences |
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| Course Contents |
: |
Categorical variables: 2x2 tables and analysis: chi squared tests, odds ratio, relative risk, Mc Nemar test, Mantel Haenszel test, 2xr and sx2 tables and analysis , test of association, measures of agreement, models for binary data: Logistic regression, model for the multinomial data: Polytomous logistic regression-Conditional logistic regression, and GEE, time to event data - survival analysis, Cox Proportional hazard model |
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| Language of Instruction |
: |
Turkish+English |
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| Work Place |
: |
Informatic lab in Biostatistics Department |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
research methods in epidemiology and type of data obtained |
Read the 1st chapter of the sourcebook |
Reading |
|
2 |
Categorical data, 2x2 tables and analysis, chi-squared statistics, odds ratio, relative risk, McNemar test, Mantel Haenszel test |
Read the 2nd chapter of the refernce book #2 |
Reading and practising the statistical package available in lab |
|
3 |
2xr and sx2 tables and analysis of associaition between two categorical variables |
Read the 2nd chapter in the reference book #3 |
Reading and practising the statistical package available in lab |
|
4 |
sxr tables, association,measure of association, agreement ve test for ordered differences |
Read the 5th chapter in the reference book #3 |
Reading and practising the statistical package available in lab |
|
5 |
sxr tables generalized Mantel-Haenszel methods |
Read the 6th chapter in the reference book #3 |
Reading and practising the statistical package available in lab |
|
6 |
logistic regression and binary data |
Read the 8th chapter in the reference book #3 |
Reading and practising the statistical package available in lab |
|
7 |
Polytomous logistic regression-Conditional logistic regression |
Read the 9th and 10th chapters in the reference book #3 |
Reading and practising the statistical package available in lab |
|
8 |
MID -TERM |
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|
|
9 |
Poisson regression |
Read the 12th chapter in reference #3 |
Reading and practising the statistical package available in lab |
|
10 |
models for the repeated categorical data |
Read the 15th chapter in the reference book #3 |
Reading and practising the statistical package available in lab |
|
11 |
Time to event data-Survival analysis- Censored data-Survival function, hazard function
|
Read the 1st chapter in the reference book #4 |
Reading and practising the statistical package available in lab |
|
12 |
summary measure for survival data :Kaplan Meier estimator- Life table estimator |
Read the 2nd chapter in the reference book #4 |
Reading and practising the statistical package available in lab |
|
13 |
Log- rank test for comparison of survival curve |
Read the 2nd chapter in the reference book #4 |
Reading and practising the statistical package available in lab |
|
14 |
Modelling of survival data- Cox PH model |
Read the 3rd chapter in the reference book #4 |
Reading and practising the statistical package available in lab |
|
15 |
Model checking by graphical methods |
Read the 4th chapter in the reference book #4 |
Reading and practising the statistical package available in lab |
|
16/17 |
FINAL EXAM |
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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 |
0 |
|
2 |
Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. |
4 |
|
3 |
Students collect data from research studies, analyze, and make inferences |
5 |
|
4 |
Students design health survey, determine the sampling method and conduct the survey |
0 |
|
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. |
5 |
|
7 |
Students use the necessary statistical packages for analysis, if necessary write and develop software. |
4 |
|
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. |
0 |
|
9 |
Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). |
0 |
|
10 |
Students explain demographic terminologies and statistical methods in the field of health sciences. |
0 |
|
11 |
Students understand and use medical terminology. |
0 |
|
12 |
Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence |
0 |
|
13 |
Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. |
4 |
|
14 |
Students follow the latest development in medical informatics and employ frequently used tools and methods. |
0 |
|
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. |
0 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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