Course
SSMD1269740
APPLIED BIOISTATISTICS
- LECTURE
- 3
- LAB
- 0
- CREDITS
- 3
- ECTS
- 8
AIM
To give basic information of biostatistical methodology and to provide the basis for the upcoming research methods courses.
CONTENT
This course contains; Descriptive Statistics,Statistical assumptions and missing value analysis,Calculate and interpret confidence intervals for population means and proportions,Hypothesis Testing, p values, effect size and one sample tests, Two Sample tests,Analysis of Variance (ANOVA),Categorical data Analysis,An overview,Correlation and Regression Analysis,Logistic Regression Analysis,Two way Anova, Ancova, Manova, Mancova, Survival Analysis,Diagnostic tests and Roc Analysis,Reporting of Statistical Tests in Scientific Publications.
LEARNING OUTCOMES
- 1
Identify the statistical sections of research articles published in science journals and identifies possible sources of error.
Taught by: Discussion Method, Problem Solving Method, Case Study Method, Self Study Method, Question - Answer Technique, Micro Teaching Technique, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Oral Exam, Homework, Project Task
- 2
Apply basic biostatistics methods.
Taught by: Problem Solving Method, Case Study Method, Self Study Method, Question - Answer Technique, Micro Teaching Technique, Lecture Method · Assessed by: Traditional Written Exam, Oral Exam, Project Task
- 3
Understands the correct reporting of statistical analyses.
Taught by: Problem Solving Method, Self Study Method, Question - Answer Technique, Micro Teaching Technique, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Oral Exam, Project Task
- 4
Uses at least one of the statistical package programs.
Taught by: Problem Solving Method, Case Study Method, Self Study Method, Question - Answer Technique, Micro Teaching Technique, Cooperative Learning, Experiential Learning, Lecture Method · Assessed by: Traditional Written Exam, Oral Exam, Project Task
WEEKLY PLAN
- WEEK 1
Descriptive Statistics
Preparation: Fundamentals of Biostatistics - Chapter 1
- WEEK 2
Statistical assumptions and missing value analysis
Preparation: Fundamentals of Biostatistics - Chapter 2
- WEEK 3
Calculate and interpret confidence intervals for population means and proportions
Preparation: Fundamentals of Biostatistics - Chapter 3
- WEEK 4
Hypothesis Testing, p values, effect size and one sample tests
Preparation: Fundamentals of Biostatistics - Chapter 4
- WEEK 5
Two Sample tests
Preparation: Fundamentals of Biostatistics - Chapter 5
- WEEK 6
Analysis of Variance (ANOVA)
Preparation: Fundamentals of Biostatistics - Chapter 6
- WEEK 7
Categorical data Analysis
Preparation: Fundamentals of Biostatistics - Chapter 7
- WEEK 8
An overview
Preparation: Fundamentals of Biostatistics - Chapter: 1,2,3,4,5,6,7
- WEEK 9
Correlation and Regression Analysis
Preparation: Fundamentals of Biostatistics - Chapter 8
- WEEK 10
Logistic Regression Analysis
Preparation: Fundamentals of Biostatistics - Chapter 9
- WEEK 11
Two way Anova, Ancova, Manova, Mancova
Preparation: Fundamentals of Biostatistics - Chapter 10
- WEEK 12
Survival Analysis
Preparation: Fundamentals of Biostatistics - Chapter 11
- WEEK 13
Diagnostic tests and Roc Analysis
Preparation: Fundamentals of Biostatistics - Chapter 12
- WEEK 14
Reporting of Statistical Tests in Scientific Publications
Preparation: Literature research: scientific paper writing guidelines.
ASSESSMENT
- Rate of Midterm Exam to Success50%
- Rate of Final Exam to Success50%
WORKLOAD
| ACTIVITY | COUNT | HOURS | TOTAL |
|---|---|---|---|
| Course Hours | 14 | 2 | 28 |
| Guided Problem Solving | 3 | 5 | 15 |
| Resolution of Homework Problems and Submission as a Report | 14 | 5 | 70 |
| Term Project | 3 | 4 | 12 |
| Presentation of Project / Seminar | 2 | 10 | 20 |
| Quiz | 0 | 0 | 0 |
| Midterm Exam | 1 | 30 | 30 |
| General Exam | 1 | 60 | 60 |
| Performance Task, Maintenance Plan | 0 | 0 | 0 |
READING
- Rosner, B. (2015). Fundamentals of biostatistics. Nelson Education. Zar, J. H. (2014). Biostatistical analysis. Prentice Hall, New Jersey, Cap, 12, 231-272. Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage. Barton, B., & Peat, J. (2014). Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons.
- M.Şenocak, M. (2014). Biyoistatistik ve Araştırma Yöntemleri, İstanbul: Çağlayan Kitabevi Prof. Dr. Osman Hayran, Prof. Dr. Hanefi Özbek (2017), "Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler (SPSS Uygulama Örnekleri ile Genişletilmiş 2. Baskı)"
TEACHING STAFF
- Assoc.Prof. Melis Almula KARADAYICOORDINATOR
- Assoc.Prof. Melis Almula KARADAYI