Survival Data Analysis (5208) |
| Language of instruction : English |
| Credits: 4,0 | | | | Period: semester 1 (4sp)  | | | | | 2nd Chance Exam1: Yes | | | | | Final grade2: Numerical |
| | | Exam contract: not possible |
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Sequentiality
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Mandatory sequentiality bound on the level of programme components
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Following programme components must have been included in your study programme in a previous education period
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Concepts of Probability and Statistics (1798)
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5.0 stptn |
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Generalized Linear Models (5463)
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6.0 stptn |
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The student should be familiar with statistical inference and statistical (generalized linear, mixed effects) models.
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The course provides an introduction to the survival analysis. Topics: - basics (censoring mechanisms, characteristics of the time-to-failure distribution, etc.);
- basic time to failure distributions (exponential, Weibull);
- Kaplan Meier estimator;
- tests for comparing of survival curves (logrank, Gehan's, logrank test for trend, extensions);
- proportional hazards model (estimation, diagnostics);
- parameteric models;
- marginal models for multivariate and correlated failure-time data;
- competing risks.
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Collective feedback moment ✔
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Distance learning ✔
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Lecture ✔
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Group work ✔
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Homework ✔
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Presentation ✔
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Semester 1 (4,00sp)
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| Other evaluation method during teaching period | 30 % |
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| Other | Group work with individual presentations |
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| Transfer of partial marks within the academic year | ✔ |
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| Written exam | 70 % |
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| Multiple-choice questions | ✔ |
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| Evaluation conditions (participation and/or pass) | ✔ |
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| Conditions | Group work is obligatory. |
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| Consequences | Students get an X score if they do not meet the condition. |
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| Additional information | To get the final score, the weighted score is rounded mathematically, unless exam result is less than 50%, in which case the integer part is taken. The maximum final score is 20. To pass the course, the achieved final score has to be at least 10 (i.e., 50%). The homework scores are retained when computing the final score after the second chance exam. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Compulsory course material |
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Leture notes and reading materials provided by the instructor. |
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| Recommended reading |
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Modeling Survival Data in Medical Research,Collett D,2,Chapman and Hall/CRC,9781584883258,Available as e-book: https://ebookcentral.proquest.com/lib/ubhasselt/detail.action?docID=5345 205&pq-origsite=summon
Modeling Survival Data: Extending the Cox Model,Terry M. Therneau, Patricia M. Grambsch,9781441931610 |
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| Recommended course material |
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R and SAS are recommended softwares for this course. |
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Learning outcomes Master of Business and Information Systems Engineering
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- EC
| EC 01: The holder of the degree applies acquired knowledge independently. (Self-direction and entrepreneurial spirit) | - EC
| EC 05: The holder of the degree communicates clearly and correctly in writing and orally, in a business and academic context, if necessary supplemented with visual support. (Communication) |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
| Offered in | Tolerance3 |
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2nd Master of Business and Information Systems Engineering
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J
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.15.1, section 3. |
3 Education, Examination and Legal Position Regulations art.16.9, section 2.
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