| Course Description |
|
| Course Name |
: |
Applied Biostatistics |
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| Course Code |
: |
BİS540 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
|
| Course Semester |
: |
Fall and Spring (16 Weeks) |
|
| ECTS |
: |
6 |
|
| Name of Lecturer(s) |
: |
Prof.Dr. ZELİHA NAZAN ALPARSLAN
Prof.Dr. HÜSEYİN REFİK BURGUT
|
|
| Learning Outcomes of the Course |
: |
knows the fundamental terminologies used in biostatistics
knows the purpose of the use of biostatistical procedures
knows the fundemantal probability theories and probability distributions used
knows the criteria such as graphics and tables used in summarizing data
knows the estimation methods and their use
knows what the significance tests are, how they are used, their methods and how to use related package programs
knows the significance tets for categorical data
knows regression and correlation analysis and the package program used
knows parametric and non parametric procedure in data analysis, ANOVA and its alternative
|
|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
BİS503 Statistical Theory I
|
|
| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
To help graduate students in either medical sciences or other health sciences institute to understand statistical methodologies to use in their research in collecting , analyzing and evaluating their findings and to choose and to learn to use the statistical packages in their analysis. |
|
| Course Contents |
: |
Basic biostatistical terminologies: parameter, statistics, variables, random variables, probability and probability distribution, data and summary of data,inference and infrential methods; estimation and hypothesis testing, association and measures of associations and modelling of association: ANOVA and ANCOVA, regression and correlation analysis, chi squared applicaiton for the categorical data, data on survival and analysis. |
|
| Language of Instruction |
: |
Turkish+English |
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| Work Place |
: |
Informatıc Lab in Biostatistics Dept. |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Descriptive statistics |
reading the related chapter in the sourcebook |
Reading |
|
2 |
Probability |
reading the related chapter in the sourcebook |
Reading |
|
3 |
Probability distributions |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis pachage |
|
4 |
Estimation methods |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
5 |
Significance tests |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
6 |
Nonparametric methods: assumptions and use: sign test, Mann whithney- Wilcoxan rank sum test, wilcoxan signed rank test, kruskal Wallis test |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
7 |
Evaluation of categorical data: Chi-squares application and modeling for the evalaution of independence, homogeneity and goodness of fit |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
8 |
Mid- term |
|
|
|
9 |
Regression and correlation analysis: assumptions and models. simple linear regression with continuous explanatory variables. Multiple regression and dignostic indecies for the model check |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
10 |
Regression and correlation analysis: application on real data sets |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
11 |
Analysis of variance: one way and two way analysis, analysis of covariance |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
12 |
ANOVA-ANCOVA applications in data obtained from medical sciences |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
13 |
Research methods in epidemiology: cross sectional, case control and cohort studies |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
14 |
Survival analysis: survival distribution, descriptive and graphical analysis of survival data: estimation by Kaplan Meier and log ranks test |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
15 |
Survival analysis: applications for real life data |
reading the related chapter in the sourcebook |
Reading and use of statistical analysis package |
|
16/17 |
Final exam-Take home |
|
|
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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 |
3 |
|
2 |
Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. |
1 |
|
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 |
1 |
|
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. |
3 |
|
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. |
1 |
|
9 |
Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). |
5 |
|
10 |
Students explain demographic terminologies and statistical methods in the field of health sciences. |
3 |
|
11 |
Students understand and use medical terminology. |
1 |
|
12 |
Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence |
2 |
|
13 |
Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. |
3 |
|
14 |
Students follow the latest development in medical informatics and employ frequently used tools and methods. |
2 |
|
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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