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Ders Detayı

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
BIOSTATISTICS-Fall Semester3+038
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Abdulbari BENER
Name of Lecturer(s)Assist.Prof. Pakize YİĞİT
Assistant(s)Res. Ass. Furkan Büyükkal
AimTo provide the knowledge and practice of research methods and statistics necessary for organizing and concluding research with scientific methods.
Course ContentThis course contains; Scientific method, data, scales.,Variables, blinding, errors insurveys.,Types of research,research planning, sampling.,Observation method, survey method, clinical trials.,Theuse of research methods in epidemiology, research ethics.,Literature review, preparation of data for analysis.,The table and graph-making, footnotes and references.,General concepts and techniques of statistics, measurements, frequency distributions, averages.,Probability.,Basics of hypothesistesting, confidence intervals basics.,Comparison of averages.,Correlation and regression, multiplelinear regression.,Categorical variables, comparison of two proportions.,Crosstabs,stratified tables..
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Summarizes clinical research, relationships among variables, blinding, mistakes in research, research and science ethics10, 12, 13, 14, 16, 4, 6, 8, 9E
Establishes the relationship between scientific research and biostatistical methods10, 12, 13, 14, 16, 4, 6, 9E
define descriptive and analytical statistical methods and analyze them10, 12, 13, 14, 16, 4, 5, 6, 8, 9E
Gains the practice of planning a scientific research, scanning sources, preparing data for analysis, making tables and graphs, citing footnotes and references.10, 12, 13, 14, 16, 4, 6, 8, 9E
Analyze the relationship of descriptive and analytical statistical methods to scientific research10, 13, 14, 16, 4, 5, 6, 8, 9E
Teaching Methods:10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 5: Cooperative Learning, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:E: Homework

Course Outline

OrderSubjectsPreliminary Work
1Scientific method, data, scales.Downloading and working with the relevant ppt file -Mebis notes
2Variables, blinding, errors insurveys.Downloading and working with the relevant ppt file-Mebis notes
3Types of research,research planning, sampling.Downloading and working with the relevant ppt file-Mebis notes
4Observation method, survey method, clinical trials.Downloading and working with the relevant ppt file-Mebis notes
5Theuse of research methods in epidemiology, research ethics.Downloading and working with the relevant ppt file-Mebis notes
6Literature review, preparation of data for analysis.Downloading and working with the relevant ppt file-Mebis notes
7The table and graph-making, footnotes and references.Downloading and working with the relevant ppt file-Mebis notes
8General concepts and techniques of statistics, measurements, frequency distributions, averages.Downloading and working with the relevant ppt file-Mebis notes
9Probability.Downloading and working with the relevant ppt file-Mebis notes
10Basics of hypothesistesting, confidence intervals basics.Downloading and working with the relevant ppt file-Mebis notes
11Comparison of averages.Downloading and working with the relevant ppt file-Mebis notes
12Correlation and regression, multiplelinear regression.Downloading and working with the relevant ppt file-Mebis notes
13Categorical variables, comparison of two proportions.Downloading and working with the relevant ppt file-Mebis notes
14Crosstabs,stratified tables.Downloading and working with the relevant ppt file-Mebis notes
Resources
Biostatistics "mebis notes" wil be given to the students.
1) Bioistatistik, Prof.Dr.Kadir Sümbüloğlu, Doç.Dr.Vildan Sümbüloğlu. 2) Sağlık Bilimlerinde araştırma yöntemleri Vildan Sümbüloğlu, Kadir Sümbüloğlu. 3) Bilgisayar (Excel) destekli uygulamalı istatistik Prof.Dr. Mustafa Akkurt. 4) Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir. 5) SPSS ile biyoistatistik Kazım Özdamar. 6) Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül. 7) Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği. Stanley Lemeshow, David W. Hosmer Jr, Janelle Klar, Stephen K. Lwanga. Çeviren S. Oğuz Kayaalp, Hacettepe Taş, 2000.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Has the essential knowledge about the structure and functioning of the radiation emitting machines used in radiation oncology, nuclear medicine and radiology.
2
Able to follow and implement daily, weekly and monthly quality control programs of radiation emitting machines.
3
Able to do the acceptance and commissioning of new machines.
4
Able to the treatment planning of patients.
5
Able to be a radiation safety officer of the institute.
6
Able to participate fields research teams; individually undertake the responsibility of the work assigned and perform it independently.
X
7
Able to evaluate all new information regarding the field and associate them based on available knowledge.
X
8
Uses the communication and computer technology effectively in theoretical and practical studies.
X
9
Able to present theoretical or research data orally or written.
X
10
Adheres to ethical values and behaves according to dynamics of social responsibility.
11
Able to do the planning of clinical implementation without giving harm to staff and patient.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14228
Guided Problem Solving14228
Resolution of Homework Problems and Submission as a Report14456
Term Project000
Presentation of Project / Seminar7214
Quiz14456
Midterm Exam4416
General Exam4416
Performance Task, Maintenance Plan14228
Total Workload(Hour)242
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(242/30)8
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
BIOSTATISTICS-Fall Semester3+038
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Abdulbari BENER
Name of Lecturer(s)Assist.Prof. Pakize YİĞİT
Assistant(s)Res. Ass. Furkan Büyükkal
AimTo provide the knowledge and practice of research methods and statistics necessary for organizing and concluding research with scientific methods.
Course ContentThis course contains; Scientific method, data, scales.,Variables, blinding, errors insurveys.,Types of research,research planning, sampling.,Observation method, survey method, clinical trials.,Theuse of research methods in epidemiology, research ethics.,Literature review, preparation of data for analysis.,The table and graph-making, footnotes and references.,General concepts and techniques of statistics, measurements, frequency distributions, averages.,Probability.,Basics of hypothesistesting, confidence intervals basics.,Comparison of averages.,Correlation and regression, multiplelinear regression.,Categorical variables, comparison of two proportions.,Crosstabs,stratified tables..
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Summarizes clinical research, relationships among variables, blinding, mistakes in research, research and science ethics10, 12, 13, 14, 16, 4, 6, 8, 9E
Establishes the relationship between scientific research and biostatistical methods10, 12, 13, 14, 16, 4, 6, 9E
define descriptive and analytical statistical methods and analyze them10, 12, 13, 14, 16, 4, 5, 6, 8, 9E
Gains the practice of planning a scientific research, scanning sources, preparing data for analysis, making tables and graphs, citing footnotes and references.10, 12, 13, 14, 16, 4, 6, 8, 9E
Analyze the relationship of descriptive and analytical statistical methods to scientific research10, 13, 14, 16, 4, 5, 6, 8, 9E
Teaching Methods:10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 4: Inquiry-Based Learning, 5: Cooperative Learning, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:E: Homework

Course Outline

OrderSubjectsPreliminary Work
1Scientific method, data, scales.Downloading and working with the relevant ppt file -Mebis notes
2Variables, blinding, errors insurveys.Downloading and working with the relevant ppt file-Mebis notes
3Types of research,research planning, sampling.Downloading and working with the relevant ppt file-Mebis notes
4Observation method, survey method, clinical trials.Downloading and working with the relevant ppt file-Mebis notes
5Theuse of research methods in epidemiology, research ethics.Downloading and working with the relevant ppt file-Mebis notes
6Literature review, preparation of data for analysis.Downloading and working with the relevant ppt file-Mebis notes
7The table and graph-making, footnotes and references.Downloading and working with the relevant ppt file-Mebis notes
8General concepts and techniques of statistics, measurements, frequency distributions, averages.Downloading and working with the relevant ppt file-Mebis notes
9Probability.Downloading and working with the relevant ppt file-Mebis notes
10Basics of hypothesistesting, confidence intervals basics.Downloading and working with the relevant ppt file-Mebis notes
11Comparison of averages.Downloading and working with the relevant ppt file-Mebis notes
12Correlation and regression, multiplelinear regression.Downloading and working with the relevant ppt file-Mebis notes
13Categorical variables, comparison of two proportions.Downloading and working with the relevant ppt file-Mebis notes
14Crosstabs,stratified tables.Downloading and working with the relevant ppt file-Mebis notes
Resources
Biostatistics "mebis notes" wil be given to the students.
1) Bioistatistik, Prof.Dr.Kadir Sümbüloğlu, Doç.Dr.Vildan Sümbüloğlu. 2) Sağlık Bilimlerinde araştırma yöntemleri Vildan Sümbüloğlu, Kadir Sümbüloğlu. 3) Bilgisayar (Excel) destekli uygulamalı istatistik Prof.Dr. Mustafa Akkurt. 4) Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir. 5) SPSS ile biyoistatistik Kazım Özdamar. 6) Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül. 7) Sağlık Araştırmalarında Örneklem Büyüklüğünün Yeterliliği. Stanley Lemeshow, David W. Hosmer Jr, Janelle Klar, Stephen K. Lwanga. Çeviren S. Oğuz Kayaalp, Hacettepe Taş, 2000.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Has the essential knowledge about the structure and functioning of the radiation emitting machines used in radiation oncology, nuclear medicine and radiology.
2
Able to follow and implement daily, weekly and monthly quality control programs of radiation emitting machines.
3
Able to do the acceptance and commissioning of new machines.
4
Able to the treatment planning of patients.
5
Able to be a radiation safety officer of the institute.
6
Able to participate fields research teams; individually undertake the responsibility of the work assigned and perform it independently.
X
7
Able to evaluate all new information regarding the field and associate them based on available knowledge.
X
8
Uses the communication and computer technology effectively in theoretical and practical studies.
X
9
Able to present theoretical or research data orally or written.
X
10
Adheres to ethical values and behaves according to dynamics of social responsibility.
11
Able to do the planning of clinical implementation without giving harm to staff and patient.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 26/11/2023 - 23:51Son Güncelleme Tarihi: 26/11/2023 - 23:51