| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| ADVANCED HEALTH DATA ANALYSIS |
 
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| IDENTIFYING DATA | 2023_24 | |||||||||||||||||
| Subject (*) | ADVANCED HEALTH DATA ANALYSIS | Code | 17705108 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 6 | Compulsory | First | 2Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Electronic, Electric and Automatic Engineering Computer Engineering and Mathematics |
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| Coordinator |
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guadalupe.gomez@urv.cat alexandre.perera@urv.cat daniel.fernandez@urv.cat josep.ginebra@urv.cat klaus.langohr@urv.cat |
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| Lecturers |
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| Web | ||||||||||||||||||
| General description and relevant information |
This course introduces methods and tools to describe, analyze and extract statistical conclusions from health data. It presents 4 major statistical areas: Advanced Regression Analysis, Survival Analysis, Bayesian Analysis and Causal Inference. For each one, the main areas of application are discussed and the relevant libraries in R are introduced. The course prepares the students to identify the best method in several particular biomedical scenarios. This course is coordinated by Universitat Politècnica de Catalunya (Dept. Statitsics and Operations Research) |
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| (*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. | ||||||||||||||||||
