In this course, the main mechanisms which lead to missing data will be studied. Specifically, this course provides a first contact with the main statistical techniques to analyse problems with missing data, functional data, censored data or biased data. The limitations of the different approaches will be examined. The presented methodologies will be applied to simulated or real datasets. The conclusions will be interpreted accordingly.
(*)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.