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Information
| Code | BİS622 |
| Name | Survival Analysis and Applications |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 2-3 (T-A) (17 Week) |
| ECTS | 7 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
1 |
Course Goal / Objective
To learn the non-parametric, semi-parametric and parametric methods and their applications and interpretation in survival analysis, whether they are included in standard package programs or not.
Course Content
It covers non-parametric, semi-parametric and parametric methods and applications used in survival analysis.
Course Precondition
none
Resources
Statistical Methods for Survival Data Analysis, Third Edition Author(s):Elisa T. Lee, John Wenyu Wang
Notes
Applied Survival Analysis: Regression Modeling of Time-to-Event Data 2nd Edition
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Distinguishes between censored and uncensored data. |
| LO02 | Applies non-parametric life analysis techniques. |
| LO03 | Calculates parametric survival parameters. |
| LO04 | Compares two survival distributions. |
| LO05 | applies and interprets two or more parametric and non-parametric survival analyzes. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Comprehends the original definitions, concepts and theorems that will bring innovation to the field based on the qualifications gained in the biostatistics master's program. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Using knowledge that requires expertise, analyzes, evaluates and interprets new and complex ideas in the field and related fields. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | He/She has advanced knowledge about technological tools and software that are frequently used in the field of biostatistics. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Knows the importance of ethical principles and ethical committees for the individual and society. Comprehends the importance of Biostatistician in ethics committees. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | He/She has advanced knowledge about statistical methods that are frequently used in studies in the field of health. | 5 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Evaluates the knowledge in the field of biostatistics with a systematic approach | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Develops a new idea, method, design or application that brings innovation to the field of biostatistics, develops a known idea, method, design or application and applies it to a different field. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Design, analyzes critically, interprets and reports observational and clinical researchs for new and complex problems in medicine and health sciences. | 4 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | He/She uses advanced statistical methods in the decision-making process in diagnosis and treatment in health sciences, and consults to researchers working in this field. | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Uses research and analysis methods that require high-level skills in studies related to the field of biostatistics. | 4 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Develops and applies advanced statistical methods and techniques frequently used in health sciences at the level of expertise with original thought, research. | 3 |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs independently an original work that brings innovation to the field of biostatistics | |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs advanced statistical analysis that can evaluate a scientific article. | 4 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Develops the ability to read and write articles related to the field of biostatistics and apply for articles to national and/or international refereed journals. | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes an active role in solving original and interdisciplinary problems | |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Develops new ideas and methods in the field of Biostatistics by using high-level mental processes such as creative and critical thinking, problem solving and decision making. | |
| PLO17 | Yetkinlikler - Öğrenme Yetkinliği | Comprehends the ways to reach the evidence and evaluates the evidence critically. | |
| PLO18 | Yetkinlikler - Öğrenme Yetkinliği | He/She determines the principles of lifelong learning and professional development as an attitude and displays this attitude in his/her works. | |
| PLO19 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Understands the dynamics of social relations required by the health profession and critically evaluates and develops the norms that guide these relations. | |
| PLO20 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Discusses the issues in the field with other experts in interdisciplinary studies, using effective communication skills, and provides academic consultancy by defending his/her original views. | |
| PLO21 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicates written, verbal and visual with foreign language knowledge in international scientific environments | |
| PLO22 | Yetkinlikler - Alana Özgü Yetkinlik | By using the knowledge of biostatistics and medical informatics, he/she contributes to the society's becoming an information society by presenting his/her knowledge and skills to his/her society. | |
| PLO23 | Yetkinlikler - Alana Özgü Yetkinlik | Establishes functional interaction by defending original views in solving problems related to biostatistics | |
| PLO24 | Yetkinlikler - Alana Özgü Yetkinlik | Consults using effective communication skills, takes part in teamwork in research, defends scientific ethical rules | |
| PLO25 | Yetkinlikler - Alana Özgü Yetkinlik | He/She has the experience of working with other health disciplines as a requirement of the field. | |
| PLO26 | Yetkinlikler - Alana Özgü Yetkinlik | He/she chooses and applies the correct statistical methods in his/her studies in the field of health and interprets them correctly. Performs advanced analysis and synthesis. | 4 |
| PLO27 | Yetkinlikler - Alana Özgü Yetkinlik | Uses current developments and information in the field of health for the benefit of society in line with the realities of the country. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Survival analysis | reading | Öğretim Yöntemleri: Anlatım |
| 2 | Censored data. Right Censored Data Types Type I, Type II, Type III Left Censored Data Types Interval Censored Data Types | reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Survival Function, Probability Density Function, Hazard Function and their relationship | reading | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | Non-Parametric survival Analysis Methods | reading | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 5 | Standardized Mortality Rates(SMR) | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 6 | Comparison of the two Survival Distributions. Kaplan Meier, Life table. | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 7 | Comparison of two Survival Distributions. (Mantel-Cox Test, Log-Rank Test, Breslow-Wilcoxon Test, Tarone-Ware Test, Gehan's Generalized Wilcoxon Test) | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 8 | Mid-Term Exam | none | Ölçme Yöntemleri: Ödev |
| 9 | Parametric Survival and Models (Exponential distribution, Two-Parameter Exponential Distribution, Weibull, LogNormal, Gamma functions) | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 10 | Parametric estimation methods of parametric survival distributions. (Right Censored data) | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 11 | Predictions for right, left and interval censored data | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 12 | Graphical Methods for Survival Distribution Fitting | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 13 | Goodness of fit tests and Distribution selections and R applications | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 14 | Testing the parameters of a distribution and R applications | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 15 | Testing the compatibility of a family of distributions and applying R applications | reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Tartışma |
| 16 | Term Exams | none | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | none | Ölçme Yöntemleri: Ödev |
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 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 3 | 9 | 27 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 8 | 8 |
| Total Workload (Hour) | 169 | ||
| Total Workload / 25 (h) | 6,76 | ||
| ECTS | 7 ECTS | ||