{"id":4524,"date":"2026-02-09T16:39:01","date_gmt":"2026-02-09T14:39:01","guid":{"rendered":"https:\/\/www.doktorikool.ee\/?post_type=tribe_events&p=4524"},"modified":"2026-02-19T10:26:00","modified_gmt":"2026-02-19T08:26:00","slug":"kursus-statistilised-meetodid-epidemioloogias-r-tarkvara-abil","status":"publish","type":"tribe_events","link":"https:\/\/www.doktorikool.ee\/en\/uritused\/kursus-statistilised-meetodid-epidemioloogias-r-tarkvara-abil\/","title":{"rendered":"Course on Statistical Practice in Epidemiology using R."},"content":{"rendered":"
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\ud83d\udccd Delta Centre, University of Tartu, Narva Mnt 18, Tartu<\/strong><\/p>\n\n\n\n

The course is in English.<\/em><\/p>\n\n\n\n

Doctoral researchers and other research staff are welcome to attend the course. The course is relevant for everyone who needs statistical analysis methodology and R software in their research work, particularly with a life sciences focus.<\/p>\n\n\n\n

The aim of the course is to give participants access to a set of tools in current use by statisticians in epidemiology.<\/p>\n\n\n\n

Contents:<\/strong> R language and data structures. Tabulation of data. Logistic regression for case-control-studies,\nPoisson regression for follow-up studies. Causal inference. Parametrization of models. Graphical reporting of results. Time-splitting & SMR.\nNested and matched case-control studies.\nCase-cohort studies. Survival analysis in continuous time. Multistate models.<\/p>\n\n\n\n

Read more about the course here<\/span><\/a>.<\/p>\n\n\n\n

Register HERE<\/a><\/span><\/strong>. The registration is open until April 1, 2026<\/strong>.<\/p>\n\n\n\n

Accommodation is also available for those coming from outside Tartu. If you are selected, please let us know your accommodation needs by emailing\u00a0anastassia.kolde@ut.ee<\/span><\/a>.<\/p>\n\n\n\n

Some preliminary knowledge and experience of statistics and research design is required. Doctoral researchers in life sciences are preferred. \nThe selection criteria will be based on preliminary experience with statistics and the relevance of the course for the research area of the participant.<\/p>\n\n\n\n

In case of questions, please turn to Anastassia Kolde, anastassia.kolde@ut.ee<\/span><\/a>.<\/p>\n\n\n\n

Estonian Doctoral School for Mathematics, Computer Science and Informatics.<\/p>\n\n\n\t

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