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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
BIOSTATICS (Elective)-Yearly0+60-3
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssist.Prof. Pakize YİĞİT
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),Non-parametric 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)
9Non-parametric 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 Kitabevleri, 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
Knows structural (morphological) and operational (functional) properties of the normal human (medical) and disorder (disease) states
2
Knows diagnostic methods and treatment modalities of disorders (diseases).
3
Knows the causes of disease conditions, ways of protection and methods of promoting and improving community health.
4
Knows the methods of developing and applying health related knowledge at advanced level.
5
Able to reach multidisciplinary advanced knowledge regarding health-related disciplines, interpret and apply the knowledge.
6
Performs a complete clinical examination of human body structurally and functionally and identifies problems.
7
Interprets laboratory results for diagnosis, compares with clinical data and develop solution proposals.
8
Selects and implements appropriate tools for the promotion and development of individual and community health.
9
Plans and conducts an advanced study on health independently.
X
10
Develops new strategic approaches to solve the problems encountered in the promotion and development of individual and community health.
11
Takes the responsibility of any type of practice when diagnosing and treating human body
12
Takes the role as a leader or a team worker when solving health related problems.
13
Evaluates knowledge and skills regarding health with a critical approach and develops a positive attitude towards lifelong learning.
X
14
Informs the patient, related people, institutions and the society about the health problems and transfers solution proposals in writing, verbally and visually using effective communication means.
15
Critically reviews, develops and acts on changes in social relations and norms that guide such relationships.
16
Uses English at least at the European Language Portfolio B2 Level, monitors knowledge and communicates in his field.
17
Able to use advanced computer skills and informatics and communication technologies at a level required by the field.
X
18
Acquires, interprets, implements and announces data related to the health and acts in accordance with social, scientific, cultural and ethical values and teaches these values.
X
19
Develops strategies, policy and implementation plans in the field of health and evaluates the results obtained within the framework of quality processes.
X
20
Shares studies on the promotion and development of health with interdisciplinary specialists systematically, supporting with quantitative and qualitative data.
X
21
Has adequate 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)-Yearly0+60-3
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssist.Prof. Pakize YİĞİT
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),Non-parametric 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)
9Non-parametric 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 Kitabevleri, 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
Knows structural (morphological) and operational (functional) properties of the normal human (medical) and disorder (disease) states
2
Knows diagnostic methods and treatment modalities of disorders (diseases).
3
Knows the causes of disease conditions, ways of protection and methods of promoting and improving community health.
4
Knows the methods of developing and applying health related knowledge at advanced level.
5
Able to reach multidisciplinary advanced knowledge regarding health-related disciplines, interpret and apply the knowledge.
6
Performs a complete clinical examination of human body structurally and functionally and identifies problems.
7
Interprets laboratory results for diagnosis, compares with clinical data and develop solution proposals.
8
Selects and implements appropriate tools for the promotion and development of individual and community health.
9
Plans and conducts an advanced study on health independently.
X
10
Develops new strategic approaches to solve the problems encountered in the promotion and development of individual and community health.
11
Takes the responsibility of any type of practice when diagnosing and treating human body
12
Takes the role as a leader or a team worker when solving health related problems.
13
Evaluates knowledge and skills regarding health with a critical approach and develops a positive attitude towards lifelong learning.
X
14
Informs the patient, related people, institutions and the society about the health problems and transfers solution proposals in writing, verbally and visually using effective communication means.
15
Critically reviews, develops and acts on changes in social relations and norms that guide such relationships.
16
Uses English at least at the European Language Portfolio B2 Level, monitors knowledge and communicates in his field.
17
Able to use advanced computer skills and informatics and communication technologies at a level required by the field.
X
18
Acquires, interprets, implements and announces data related to the health and acts in accordance with social, scientific, cultural and ethical values and teaches these values.
X
19
Develops strategies, policy and implementation plans in the field of health and evaluates the results obtained within the framework of quality processes.
X
20
Shares studies on the promotion and development of health with interdisciplinary specialists systematically, supporting with quantitative and qualitative data.
X
21
Has adequate 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: 05/11/2023 - 12:55Son Güncelleme Tarihi: 05/11/2023 - 12:56