Degree | Type | Year |
---|---|---|
Applied Statistics | OB | 2 |
You can view this information at the end of this document.
You are expected to be familiar with:
This course introduces the fundamental concepts for the analysis of survival random variables (also known as "time-to-event" variables), including: survival functions, hazard and cumulative hazard functions, concepts of censoring and truncation, likelihood and log-likelihood functions for different types of censored data (right, left, interval) as well as for truncated data. The course covers non-parametric estimators such as the Kaplan-Meier estimator (for the survival function) and the Nelson-Aalen estimator (for the cumulative hazard function). Additionally, the course provides an introduction to parametric regression models for survival analysis, focusing on proportional hazards (PH) and accelerated failure time (AFT) models, with special emphasis on exponential and Weibull regression models. An introduction to the semi-parametric Cox proportional hazards model is also included. If time permits, more advanced topics in survival analysis will be covered. Although applications will mainly focus on the field of health sciences, examples from other areas such as economics or reliability may also be discussed.
1. Introduction to survival analysis
2. Likelihood and log-likelihood functions for survival data
3. Non-parametric inference for right-censored survival data
4. Parametric models for survival time: PH and AFT models
5. The semi-parametric Cox proportional hazards model
6. Advanced Topics in Survival Analysis
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Lecture sessions | 21 | 0.84 | |
Resolution of certain laboratory problems and exercises during face-to-face sessions | 14 | 0.56 | |
Type: Supervised | |||
Resolution of laboratory problems in class | 20 | 0.8 | |
Type: Autonomous | |||
Complete all laboratory practice tasks independently | 30 | 1.2 | |
Resolution of theory-based problems | 10 | 0.4 | |
Self-directed learning to deepen understanding of lecture topics | 30 | 1.2 |
Independent learning:
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Hands-on deliverables | 30% | 20 | 0.8 | CM12 |
Primer examen (E1) | 35% | 2.5 | 0.1 | |
Second exam (E2) | 35% | 2.5 | 0.1 |
Continuous evaluation
The continuous evaluation of the course will consist of a first exam in the middle of the course (E1, 35%), a second exam at the end of the course (E2, 35%), and the practical work during laboratory sessions (P, 30%, non-recoverable). In particular, the evaluation of the practical work will consist of a set of problems similar to those solved in lectures to be graded (PP, 15%), as well as a final project (PF, 15%). The PP problems will be solved during the second part of in-person lab sessions and submitted at the end of the session. Late submission of each the problems or the final project without a valid reason will result in a penalty. In addition, plagiarism or copying of practical work will automatically result in a mark of 0 for that assignment. Therefore, the final grade (F) will be calculated as follows:
F=E1×0.35+E2×0.35+PP×0.15+PF×0.15
If a student does not obtain a grade of 5 in the final course qualification, to pass the course, he/she will have to take the resit exam (R), where he/she will be able to retake exams E1 and E2, but not the practical work (P10 and P20). For those students who take the resit exam, the final grade of the course will be:
F=min(R×0.7+PP×0.15+PF×0.15, 5)
It is not possible to improve the final grade of the course by taking the resit exam.
Single evaluation:
Students who have chosen the single assessment mode will have to take a final examination consisting of theoretical questions and problems (E). In addition, they will also have to submit the results of a set of exercises and problems (which will not be the same as those submitted in the continuous evaluation but will cover similar content) (P10) and the final project (P20).This examination will be held on the same day, time, and place as the second exam of the continuous evaluation (E2). The weight of the exam (E) will be 70%, and the evaluation of the practical work of the course will be 30% (not recoverable), where 15% will be a set of problems (PP) and 15% will be the final project (PF). Those who do not attend this exam without justified cause will receive a grade of NOT ASSESSED. Therefore, the final grade (F) will be:
F=E×0.7+PP×0.15+PF×0.15
If a student does not obtain a grade of 5 in the final course qualification (F), to pass the course, he/she will have to take the resit exam (R), where he/she will be able to retake exams E1 and E2, but not the practical work (PP and PF). For those students who take the resit exam, the final grade of the course will be:
F=min(R×0.7+PP×0.15+PF×0.15, 5)
The resit exam will be held on the same day, time, and place as the resit exam for the rest of the students in the course. It is not possible to improve the qualification of the course by taking the resit exam.
We will carry R lab sessions
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PLAB) Practical laboratories | 1 | Catalan | second semester | afternoon |
(TE) Theory | 1 | Spanish | second semester | afternoon |