ECTS - Advanced Biostatistics
Advanced Biostatistics (REH502) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Advanced Biostatistics | REH502 | Area Elective | 2 | 2 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | Turkish |
|---|---|
| Course Type | Elective Courses |
| Course Level | ects.course_level_Sağlık_Bilimleri_Yüksek_Lisans |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Drill and Practice, Problem Solving, Brain Storming. |
| Course Lecturer(s) |
|
| Course Objectives | The aim of this course is to teach advanced statistical analysis methods required for designing and conducting research in health sciences and medicine; to enable students to develop skills in data management, regression models, control of confounding factors, and interaction analyses, and to apply and interpret these methods using statistical software (Syntax/SPSS). |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Introduction to Syntax software, compute and recode commands, data merge, bivariate regression, partial correlation, multiple linear regression, confounding factors, interaction, logistic regression analysis. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to advanced biostatistics, the role of statistics in research design | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 1 |
| 2 | Introduction to Syntax/SPSS and basic data structure | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018.Chapter 2 |
| 3 | Compute command and data derivation procedures | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 2 |
| 4 | Recode command and data transformations | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 2 |
| 5 | Merging datasets and data cleaning | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 2 |
| 6 | Advanced use of descriptive statistics | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 3 |
| 7 | Bivariate regression analysis Partial correlation analysis | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 4 Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 5 |
| 8 | Midterm Exam | Midterm Exam |
| 9 | Multiple linear regression I (model building) | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 6 |
| 10 | Multiple linear regression II (model interpretation) | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 6 |
| 11 | Analysis of confounding variables | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 6-7 |
| 12 | Interaction analysis | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 6-7 |
| 13 | Logistic regression analysis I | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 8 |
| 14 | Logistic regression analysis II (model interpretation and reporting) | Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. Chapter 8 |
| 15 | Statistical modeling in clinical research and general review | General review |
| 16 | Final Exam | Final Exam |
Sources
| Course Book | 1. Triola MM, Triola MF. Biostatistics for the Biological and Health Sciences. Pearson; 2018. |
|---|---|
| Other Sources | 2. Akademik Veritabanları ve Elektronik Kütüphaneler: PubMed, MEDLINE, Google Scholar |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | 2 | 10 |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 40 |
| Final Exam/Final Jury | 1 | 50 |
| Toplam | 4 | 100 |
| Percentage of Semester Work | 50 |
|---|---|
| Percentage of Final Work | 50 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Utilizes knowledge from the literature in the field of physiotherapy and rehabilitation systematically, assessing, evaluating, describing, analyzing, and planning for professional and academic work with essential concepts and principles. | X | ||||
| 2 | Plans and implements academic studies using evidence-based literature in physiotherapy and rehabilitation. | X | ||||
| 3 | Collects data according to ethical principles, selects suitable statistical methods, analyzes results, critiques them by comparing with literature, and presents or publishes at national/international scientific meetings. | X | ||||
| 4 | Takes responsibility individually within multidisciplinary or interdisciplinary teams for problem-solving in academic and scientific work and collaborates effectively using communication skills. | X | ||||
| 5 | Identifies learning needs and goals, adopts lifelong learning for personal growth, uses a foreign language and information-communication technology, follows developments in the field, and organizes and supports quality improvement programs. | X | ||||
| 6 | Understands the duties, rights, and responsibilities related to scientific work in physiotherapy, adheres to academic ethics and standards, and maintains professional conduct internationally. | X | ||||
| 7 | Applies evidence-based preventive and rehabilitative approaches aligned with changing and growing community needs in physiotherapy and rehabilitation to contribute to health policy development and raise public awareness. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 4 | 64 |
| Laboratory | |||
| Application | 16 | 2 | 32 |
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 8 | 1 | 8 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 8 | 8 |
| Prepration of Final Exams/Final Jury | 1 | 13 | 13 |
| Total Workload | 125 | ||