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Identical coursesAdvanced Topics in Survival Analysis (B-KUL-G0Z51A)
Cannot be taken as part of an examination contractAims
The student knows some more advanced topics of survival analysis, and can apply them in practice.
Previous knowledge
Basic knowledge of survival analysis is required.
Order of Enrolment
Mixed prerequisite:
You may only take this course if you comply with the prerequisites. Prerequisites can be strict or flexible, or can imply simultaneity. A degree level can be also be a prerequisite.
Explanation:
STRICT: You may only take this course if you have passed or applied tolerance for the courses for which this condition is set.
FLEXIBLE: You may only take this course if you have previously taken the courses for which this condition is set.
SIMULTANEOUS: You may only take this course if you also take the courses for which this condition is set (or have taken them previously).
DEGREE: You may only take this course if you have obtained this degree level.
(FLEXIBLE( G0B67A ) OR FLEXIBLE( G0B67B ))
The codes of the course units mentioned above correspond to the following course descriptions:
G0B67A : Statistical Analysis of Reliability and Survival Data
G0B67B : Statistical Analysis of Reliability and Survival Data
Identical courses
This course is identical to the following courses:
G0Z79A : Geavanceerde topics in overlevingsanalyse (No longer offered this academic year)
Is included in these courses of study
- Master in de statistiek (Leuven) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (European Master of Official Statistics (EMOS)) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Biometrics) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Business) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Industry) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Social, Behavioral and Educational Sciences) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Theoretical Statistics and Data Science) 120 ects.
- Courses for Exchange Students Faculty of Science (Leuven)
- Master of Statistics and Data Science (blended) (Leuven) (Statistics and Data Science for Biometrics) 120 ects.
- Master of Statistics and Data Science (blended) (Leuven) (Statistics and Data Science for Business) 120 ects.
- Master of Statistics and Data Science (blended) (Leuven) (Statistics and Data Science for Industry) 120 ects.
- Master of Statistics and Data Science (blended) (Leuven) (Statistics and Data Science for Social, Behavioral and Educational Sciences) 120 ects.
- Master of Statistics and Data Science (blended) (Leuven) (Theoretical Statistics and Data Science) 120 ects.
Activities
4 ects. Advanced Topics in Survival Analysis (B-KUL-G0Z51a)
Content
In this course, several advanced topics in the area of survival analysis will be studied. These topics might change from one year to another, and will include among others the following ones:
- cure models
- competing risks
- joint models
- multistate models
- dependent censoring
- frailty models
The topics will be studied from a methodological and a practical point of view.
Course material
Slides and some reference books.
Evaluation
Evaluation: Advanced Topics in Survival Analysis (B-KUL-G2Z51a)
Explanation
The exam consists of two parts:
- A project, in which the methods seen in this course are applied on some real data.
- An oral exam during which questions are asked about the course material.
Projects that are not submitted on time or that are not submitted at all, will result in a NA score for the final grade.
Information about retaking exams
Same as for the first exam.