BİS547

6 ECTS - 2-2 Duration (T+A)- . Semester- 3 National Credit
Information About Course

Information
Goal, Content & Resources
Course Learning Outcomes
Relation with Program Learning Outcome
Week Plan
Student Workload - ECTS

Information

Code BİS547
Name
Semester . Semester
Duration (T+A) 2-2 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal

Obtaining basic information about survival analysis, obtaining information about censored data, comprehending the methods used to determine the factors affecting survival time

Course Content

Methods used to analyze lifespans and factors affecting them, introduction to survival analysis, time to failure, life table technique, non-parametric survival analysis, multivariate survival analysis (Cox regression)

Course Precondition

none

Resources

1. Miller, Rupert G. Survival analysis Wiley New York 1981 2. Klein, John P., 0387948295

Notes

Survival analysis : Techniques for censored and truncated data Springer New York 1997 3. Kleinbaum, D., Survival Analysis, Springer, 1996


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Decides, in which situations to use survival analysis.
LO02 Selects the appropriate survival analysis method
LO03 Applies statistical methods related to survival analysis correctly.
LO04 Shows the differences between censoring types


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 5
PLO02 Bilgi - Kuramsal, Olgusal Students explain demographic terminologies and statistical methods in the field of health sciences.
PLO03 Beceriler - Bilişsel, Uygulamalı Students understand and use medical terminology. 3
PLO04 Beceriler - Bilişsel, Uygulamalı Students collect data from research studies, analyze, and make inferences 5
PLO05 Beceriler - Bilişsel, Uygulamalı Students knows the system of international classification of diseases, obtain and analyze hospital statistics.
PLO06 Beceriler - Bilişsel, Uygulamalı Students design scientific research studies in order to give response to the problem arising from health and clinical sciences 4
PLO07 Beceriler - Bilişsel, Uygulamalı Students select the appropriate statistical procedure for analysis , apply and make inferences. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Students use the necessary statistical packages for analysis, if necessary write and develop software. 5
PLO09 Beceriler - Bilişsel, Uygulamalı Students follow the latest development in medical informatics and employ frequently used tools and methods.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students design health survey, determine the sampling method and conduct the survey
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. 5
PLO12 Yetkinlikler - Öğrenme Yetkinliği Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence
PLO13 Yetkinlikler - Öğrenme Yetkinliği Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. 5
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules.
PLO15 Yetkinlikler - Alana Özgü Yetkinlik Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test.


Week Plan

Week Topic Preparation Methods
1 Introduction to Survival Analysis reding Öğretim Yöntemleri:
Anlatım
2 Censoring and Its Types reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Survival Time Functions reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Distributions used in survival analysis reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Survival Calculation Methods, Kaplan-Meier Method reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap
6 Survival time Calculation Methods, Life Table Method reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap
7 Survival Times Comparison Methods reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma, Soru-Cevap
8 Mid-Term Exam none Ölçme Yöntemleri:
Ödev
9 Risk (Hazard) Approach and Cox Regression reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Variable selection in the Cox regression model reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap, Tartışma
11 Assumptions and control of the Cox regression model reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma
12 Stratification in the Cox regression model reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Examination of Cox regression residuals reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Tartışma
14 Parametric survival models reading Öğretim Yöntemleri:
Anlatım
15 applying survival analyzes on the data set and comparing the results reading Öğretim Yöntemleri:
Alıştırma ve Uygulama, Soru-Cevap, Tartışma
16 Term Exams none Ölçme Yöntemleri:
Ödev, Proje / Tasarım
17 Term Exams none Ölçme Yöntemleri:
Ödev, Proje / Tasarım


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 4 56
Assesment Related Works
Homeworks, Projects, Others 1 2 2
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 28 28
Total Workload (Hour) 154
Total Workload / 25 (h) 6,16
ECTS 6 ECTS