Course
SSMY1169690
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 Vay ANOVA, ANCOVA, MANOVA, MANCOVA,Diagnostic tests and Roc Analysis,Survival Analysis,Reporting of Statistical Tests in Scientific Publications.
LEARNING OUTCOMES
- 1
Identifies the statistical sections of research articles published in science journals and identifies possible sources of error.
Taught by: Discussion Method, Self Study Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework
- 2
Applies basic biostatistics methods.
Taught by: Discussion Method, Self Study Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework
- 3
Defines the correct reporting of statistical analysis.
Taught by: Discussion Method, Self Study Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework
- 4
Uses at least one of the statistical package programs.
Taught by: Discussion Method, Self Study Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework
WEEKLY PLAN
- WEEK 1
Descriptive Statistics
Preparation: Lecture Notes
- WEEK 2
Statistical assumptions and missing value analysis
Preparation: Lecture Notes
- WEEK 3
Calculate and interpret confidence intervals for population means and proportions
Preparation: Lecture Notes
- WEEK 4
Hypothesis Testing, p values, effect size and one sample tests
Preparation: Lecture Notes
- WEEK 5
Two Sample tests
Preparation: Lecture Notes
- WEEK 6
Analysis of Variance (ANOVA)
Preparation: Lecture Notes
- WEEK 7
Categorical data Analysis
Preparation: Lecture Notes
- WEEK 8
An overview
Preparation: Lecture Notes
- WEEK 9
Correlation and Regression Analysis
Preparation: Lecture Notes
- WEEK 10
Logistic Regression Analysis
Preparation: Lecture Notes
- WEEK 11
Two Vay ANOVA, ANCOVA, MANOVA, MANCOVA
Preparation: Lecture Notes
- WEEK 12
Diagnostic tests and Roc Analysis
Preparation: Lecture Notes
- WEEK 13
Survival Analysis
Preparation: Lecture Notes
- WEEK 14
Reporting of Statistical Tests in Scientific Publications
Preparation: Lecture Notes
ASSESSMENT
- Rate of Midterm Exam to Success50%
- Rate of Final Exam to Success50%
WORKLOAD
| ACTIVITY | COUNT | HOURS | TOTAL |
|---|---|---|---|
| Course Hours | 2 | 14 | 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