| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| ADVANCED HEALTH DATA ANALYSIS |
 
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| IDENTIFYING DATA | 2022_23 | |||||||||||||||||
| Subject (*) | ADVANCED HEALTH DATA ANALYSIS | Code | 17705108 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | ||||||||||||||
| 6 | Compulsory | First | 2Q |
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| Teaching | Modality by working group | Teaching language, timetables and exam dates | ||||||||||||||||
| 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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| 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 area: 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 scenarios. |
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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. | ||||||||||||||||||
