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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
BIOSTATICS (Elective)-Fall Semester0+60-3
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Hanefi ÖZBEK
Name of Lecturer(s)Prof.Dr. Hanefi ÖZBEK
Assistant(s)
AimIt is to establish a physician population with statistics literate, who understands statistics enough to be able to make statistical analyzes of their own scientific research.
Course ContentThis course contains; What is statistics? Why do you need statistics? Statistics-Mathematics-Computer Relationship, Statistical-research design relationship.,Probability theory, p-value, Type-1 error, type-2 error, confidence intervals.,Probability theory, p value, Type-1 error, type-2 error, confidence intervals. Types of research in medicine, Sample size, Bias, Mixing factors.,What is a variable? Dependent and independent variables, dependent and independent measurements, measurement types of variables, categorization of data.,Introduction to SPSS statistical package program, central tendency metrics, propagation criteria, descriptive statistics in SPSS.,How is the selection of statistical analysis method?,Presentation of G * Power program, sample and power analysis by G * Power program.,Parametric tests and construction in SPSS (Student's t tests, one-way analysis of variance in independent groups, one-way analysis of variance in dependent groups).,Nonparametric tests (Mann-Whitney U test, Wilcoxon signed rank test, Kruskal-Wallis test, Friedman test, chi-square tests).,Correlation analysis (Pearson and Sperman correlation analysis) and linear regression analysis tests..
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
At the end of this course the student:
1. Understands the statistical sections of research articles published in science journals, reviews the research and keeps in mind the possible errors and limitations.16, 6, 9A, D, E
2. Applies basic statistical methods, knows when to apply to a statistician.16, 6, 9A, D, E
3. Uses at least one of the statistical package programs.16, 6, 9A, D, E
4. Have a strong background for further statistical training.16, 6, 9A, D, E
Teaching Methods:16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, D: Oral Exam, E: Homework

Course Outline

OrderSubjectsPreliminary Work
1What is statistics? Why do you need statistics? Statistics-Mathematics-Computer Relationship, Statistical-research design relationship.
2Probability theory, p-value, Type-1 error, type-2 error, confidence intervals.
3Probability theory, p value, Type-1 error, type-2 error, confidence intervals. Types of research in medicine, Sample size, Bias, Mixing factors.
4What is a variable? Dependent and independent variables, dependent and independent measurements, measurement types of variables, categorization of data.
5Introduction to SPSS statistical package program, central tendency metrics, propagation criteria, descriptive statistics in SPSS.
6How is the selection of statistical analysis method?
7Presentation of G * Power program, sample and power analysis by G * Power program.
8Parametric tests and construction in SPSS (Student's t tests, one-way analysis of variance in independent groups, one-way analysis of variance in dependent groups).
9Nonparametric tests (Mann-Whitney U test, Wilcoxon signed rank test, Kruskal-Wallis test, Friedman test, chi-square tests).
10Correlation analysis (Pearson and Sperman correlation analysis) and linear regression analysis tests.
Resources
Osman Hayran, Hanefi Özbek. Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler (SPSS Uygulama Yöntemleri İle Genişletilmiş 2. Baskı), Nobel Tıp Kitabevller, Mart 2017. Murat Hayran, Mutlu Hayran. Sağlık Araştırmaları İçin Temel İstatistik. Omega Araştırma, Mayıs 2011. Kazım Özdamar. Paket Programlar İle İstatistiksel Veri Analizi, Kaan Kitabevi, Eskişehir 2004. Stacey B. Plichta, Elizabeth Kelvin. Sağlık Araştırmalarında İstatistiksel Yöntemler, çeviri editörü: Ruhi Selçuk tabak, Palme Yayıncılık, Ankara 2015. Kadir Sümbüloğlu, Vildan Sümbüloğlu. Biyoistatistik, Hatiboğlu Basım ve Yayım, Ankara , Mart 2002. Aziz Akgül. Tıbbi Araştırmalarda İstatistik Analiz Teknikleri "SPSS Uygulamaları", Emek Ofset Ltd. Şti., Ankara 2003. SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, editör: Şeref Kalaycı, Asil Yayın Dağıtım, Ankara-2006. Allen L. Edwards. Doğrusal Regresyon ve Korelasyona Giriş. Hatiboğlu Yayınları, Ankara 1995. Özer Serper, Mustafa Aytaç. Örnekleme, Ezgi Kitabevi, Bursa 2000. Stanley Lemeshow, David W. Hosmer Jr, Janelle Klar, Stephen K. Lwanga. Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği, çeviren: S. Oğuz Kayaalp, Hacettepe Taş, Ankara 2000. Selim Hovardaoğlu. Davranış Bilimleri İçin İstatistik, Hatiboğlu Yayınları, Ankara 1994. Oktay Özdemir. Medikal İstatistik, İstanbul Medikal yayıncılık, İstanbul 2005. SPSS 16.0 Brief Guide, 2007.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
PQ1: Knows the morphological and functional normal and abnormal structure of human body.
2
PQ2: Knows the essential ways of determining the underlying causes of the pathologies with basic scientific approaches and the diagnoses of illnesses and disorders.
3
PQ3: Knows the reasons for illnesses, the ways of protection, and the methods of promotion and improvement of public health.
4
PQ4: Knows the methods of advancing his/her knowledge about health and its practice.
5
PQ5: Accesses, interprets and applies the advanced interdisciplinary information related to health.
6
PQ6: Performs a complete clinical examination of the human body, both morphologically and functionally and defines the problems.
7
PQ7: Interprets examination data for diagnoses, compares with clinical data, and provides solutions.
8
PQ8: Selects and applies appropriate tools for promotion and improvement of individual and public health.
9
PQ9: Plans and conducts an advanced study of health independently.
10
PQ10: Takes responsibility individually and as a team member to solve the problems encountered in the promotion and improvement of individual and public health.
11
PQ11: Takes responsibility for any intervention on the human body for the diagnosis and treatment.
12
PQ12: Determines personal learning requirements and decides and develops a positive lifelong learning attitude.
13
PQ13: Evaluates the information gained in the field of health with a critical approach.
14
PQ14: Informs the patient, the relevant people and institutions, and the public about the health problem and conveys recommendations of solutions in writing and/or verbally.
15
PQ15: Shares their recommendations on promotion and improvement of health with interdisciplinary experts by supporting with data.
16
PQ16: Uses English at least at the General Level of European Language Portfolio B1, follows resources in his/her field and communicates.
17
PQ17: Uses computer software, information, and communication technologies at least at the Advanced Level of European Computer Operating License.
18
PQ18: Acts in accordance with social, scientific, cultural and ethical values in the stages of obtaining, interpreting, applying and announcing the data related to the field of health.
19
PQ19: Develops strategy, policy and implementation plans on health issues and evaluate the results obtained the framework of quality processes.
20
PQ20: Systematically shares his/her works on promoting and improving health with quantitative and qualitative data and interdisciplinary experts.
21
PQ21: Has sufficient awareness on occupational health and safety issues.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours10660
Guided Problem Solving515
Resolution of Homework Problems and Submission as a Report515
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam11010
General Exam11010
Performance Task, Maintenance Plan000
Total Workload(Hour)90
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(90/30)3
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
BIOSTATICS (Elective)-Fall Semester0+60-3
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Hanefi ÖZBEK
Name of Lecturer(s)Prof.Dr. Hanefi ÖZBEK
Assistant(s)
AimIt is to establish a physician population with statistics literate, who understands statistics enough to be able to make statistical analyzes of their own scientific research.
Course ContentThis course contains; What is statistics? Why do you need statistics? Statistics-Mathematics-Computer Relationship, Statistical-research design relationship.,Probability theory, p-value, Type-1 error, type-2 error, confidence intervals.,Probability theory, p value, Type-1 error, type-2 error, confidence intervals. Types of research in medicine, Sample size, Bias, Mixing factors.,What is a variable? Dependent and independent variables, dependent and independent measurements, measurement types of variables, categorization of data.,Introduction to SPSS statistical package program, central tendency metrics, propagation criteria, descriptive statistics in SPSS.,How is the selection of statistical analysis method?,Presentation of G * Power program, sample and power analysis by G * Power program.,Parametric tests and construction in SPSS (Student's t tests, one-way analysis of variance in independent groups, one-way analysis of variance in dependent groups).,Nonparametric tests (Mann-Whitney U test, Wilcoxon signed rank test, Kruskal-Wallis test, Friedman test, chi-square tests).,Correlation analysis (Pearson and Sperman correlation analysis) and linear regression analysis tests..
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
At the end of this course the student:
1. Understands the statistical sections of research articles published in science journals, reviews the research and keeps in mind the possible errors and limitations.16, 6, 9A, D, E
2. Applies basic statistical methods, knows when to apply to a statistician.16, 6, 9A, D, E
3. Uses at least one of the statistical package programs.16, 6, 9A, D, E
4. Have a strong background for further statistical training.16, 6, 9A, D, E
Teaching Methods:16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, D: Oral Exam, E: Homework

Course Outline

OrderSubjectsPreliminary Work
1What is statistics? Why do you need statistics? Statistics-Mathematics-Computer Relationship, Statistical-research design relationship.
2Probability theory, p-value, Type-1 error, type-2 error, confidence intervals.
3Probability theory, p value, Type-1 error, type-2 error, confidence intervals. Types of research in medicine, Sample size, Bias, Mixing factors.
4What is a variable? Dependent and independent variables, dependent and independent measurements, measurement types of variables, categorization of data.
5Introduction to SPSS statistical package program, central tendency metrics, propagation criteria, descriptive statistics in SPSS.
6How is the selection of statistical analysis method?
7Presentation of G * Power program, sample and power analysis by G * Power program.
8Parametric tests and construction in SPSS (Student's t tests, one-way analysis of variance in independent groups, one-way analysis of variance in dependent groups).
9Nonparametric tests (Mann-Whitney U test, Wilcoxon signed rank test, Kruskal-Wallis test, Friedman test, chi-square tests).
10Correlation analysis (Pearson and Sperman correlation analysis) and linear regression analysis tests.
Resources
Osman Hayran, Hanefi Özbek. Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler (SPSS Uygulama Yöntemleri İle Genişletilmiş 2. Baskı), Nobel Tıp Kitabevller, Mart 2017. Murat Hayran, Mutlu Hayran. Sağlık Araştırmaları İçin Temel İstatistik. Omega Araştırma, Mayıs 2011. Kazım Özdamar. Paket Programlar İle İstatistiksel Veri Analizi, Kaan Kitabevi, Eskişehir 2004. Stacey B. Plichta, Elizabeth Kelvin. Sağlık Araştırmalarında İstatistiksel Yöntemler, çeviri editörü: Ruhi Selçuk tabak, Palme Yayıncılık, Ankara 2015. Kadir Sümbüloğlu, Vildan Sümbüloğlu. Biyoistatistik, Hatiboğlu Basım ve Yayım, Ankara , Mart 2002. Aziz Akgül. Tıbbi Araştırmalarda İstatistik Analiz Teknikleri "SPSS Uygulamaları", Emek Ofset Ltd. Şti., Ankara 2003. SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, editör: Şeref Kalaycı, Asil Yayın Dağıtım, Ankara-2006. Allen L. Edwards. Doğrusal Regresyon ve Korelasyona Giriş. Hatiboğlu Yayınları, Ankara 1995. Özer Serper, Mustafa Aytaç. Örnekleme, Ezgi Kitabevi, Bursa 2000. Stanley Lemeshow, David W. Hosmer Jr, Janelle Klar, Stephen K. Lwanga. Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği, çeviren: S. Oğuz Kayaalp, Hacettepe Taş, Ankara 2000. Selim Hovardaoğlu. Davranış Bilimleri İçin İstatistik, Hatiboğlu Yayınları, Ankara 1994. Oktay Özdemir. Medikal İstatistik, İstanbul Medikal yayıncılık, İstanbul 2005. SPSS 16.0 Brief Guide, 2007.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
PQ1: Knows the morphological and functional normal and abnormal structure of human body.
2
PQ2: Knows the essential ways of determining the underlying causes of the pathologies with basic scientific approaches and the diagnoses of illnesses and disorders.
3
PQ3: Knows the reasons for illnesses, the ways of protection, and the methods of promotion and improvement of public health.
4
PQ4: Knows the methods of advancing his/her knowledge about health and its practice.
5
PQ5: Accesses, interprets and applies the advanced interdisciplinary information related to health.
6
PQ6: Performs a complete clinical examination of the human body, both morphologically and functionally and defines the problems.
7
PQ7: Interprets examination data for diagnoses, compares with clinical data, and provides solutions.
8
PQ8: Selects and applies appropriate tools for promotion and improvement of individual and public health.
9
PQ9: Plans and conducts an advanced study of health independently.
10
PQ10: Takes responsibility individually and as a team member to solve the problems encountered in the promotion and improvement of individual and public health.
11
PQ11: Takes responsibility for any intervention on the human body for the diagnosis and treatment.
12
PQ12: Determines personal learning requirements and decides and develops a positive lifelong learning attitude.
13
PQ13: Evaluates the information gained in the field of health with a critical approach.
14
PQ14: Informs the patient, the relevant people and institutions, and the public about the health problem and conveys recommendations of solutions in writing and/or verbally.
15
PQ15: Shares their recommendations on promotion and improvement of health with interdisciplinary experts by supporting with data.
16
PQ16: Uses English at least at the General Level of European Language Portfolio B1, follows resources in his/her field and communicates.
17
PQ17: Uses computer software, information, and communication technologies at least at the Advanced Level of European Computer Operating License.
18
PQ18: Acts in accordance with social, scientific, cultural and ethical values in the stages of obtaining, interpreting, applying and announcing the data related to the field of health.
19
PQ19: Develops strategy, policy and implementation plans on health issues and evaluate the results obtained the framework of quality processes.
20
PQ20: Systematically shares his/her works on promoting and improving health with quantitative and qualitative data and interdisciplinary experts.
21
PQ21: Has sufficient awareness on occupational health and safety issues.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 30/11/2022 - 13:37Son Güncelleme Tarihi: 14/04/2023 - 09:05