[{"Course code":"P000003","Version":1,"English name":"Statistics IV: Generalized Linear Models","Higher education credits":4.0,"Syllabus":"Institution","Valid from":"VT2023","Syllabus approved":"2022-08-16","Level within study regulation":"Third cycle","Subject":[{"Subject":"Mathematical Statistics"}],"Grading scale":"Pass \/ Failed","Language":"Swedish","Entry requirements":"Statistics III: Regression Analysis or equivalent","Objectives":"The objective of the course is to give an overview of generalized linear models with applications in the agricultural sciences and related fields of research. On completion of the course, the student will be able to:\n\n- specify generalized linear models including assumptions\n- select an appropriate generalized linear model for a given problem\n\n- use the statistical software R for generalized linear modelling\n- interpret and evaluate results correctly and draw reasonable conclusions\n- clearly and concisely communicate results and conclusions","Content":"The course will cover the following topics:\n\n- binomial and multinomial logistic regression\n- count regression (Poisson, negative binomial)\n- generalized linear mixed models\n- overdispersion and zero-inflation","Examination formats":"Passed exercises and passed examination in written and\/or oral form \r\n- If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.\r\n\r\n- The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.\r\n\r\n- If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.\r\n\r\n- For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.\r\n","Organisation":[{"code":"565","Organisation":"Department of Energy and Technology"}],"Other information":"\r\n- The right to participate in teaching and\/or supervision only applies for the course instance the student was admitted to and registered on.\r\n\r\n- If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.\r\n"}]