Course catalogue doctoral education - VT18

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Title Methods for statistical analysis: From analysis of variance to multilevel modeling
Course number 2666
Programme 0-Inte del av forskarutbildningsprogram
Language English
Credits 4.0
Notes The course meets the requirements for a general science course.

Date 2018-04-19 -- 2018-06-01
Responsible KI department Institutionen för klinisk neurovetenskap
Specific entry requirements Documented knowledge about basic statistics
Purpose of the course To give graduate students an opportunity to learn to use a number of statistical methods.
Intended learning outcomes After the course the participants should be able to conduct the following statistical analyses: (1) Analysis of variance; (2) Multiple regression analysis; (3) Risk- and Odds-ratios; (4) Logistic regression; (5) Cox regression; (6) Factor analysis; (7) Structural Equation Modeling; (8) Multilevel Modeling
Contents of the course The above mentioned methods for statistical analysis.
Teaching and learning activities The course contains lectures and computer exercises. The lectures will cover the theoretical material and contain relevant examples. In the computer exercises the methods of analysis will be used on given data. SPSS (or, on request, R) will be used in the computer exercises. No support for SAS will be available.
Compulsory elements No compulsory elements.
Examination The participants will conduct the analyses that are included in the course and present and interpret the results from these analyses in an individual examination report.
Literature and other teaching material No compulsory literature. The participants should be able to pass the course with the help of lectures, handouts and recorded lectures/presentations. Recommended literature (depending on which software you prefer): Field, Andy: Discovering statistics using IBM SPSS Statistics - And sex and drugs and rock 'n' roll Field, Andy: Discovering statistics using R Field, Andy: Discovering statistics using SAS - And sex and drugs and rock 'n' roll
Number of students 18 - 23
Selection of students Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) date for registration as a doctoral student (priority given to earlier registration date).
More information Live lectures/workshops on the following dates: 19/4, 26/4, 3/5, 9/5, 17/5, 24/5, 31/5. Submission of examination task: 1/6. Besides these occasions, the participants are asked to watch recorded lectures on the internet, one lecture (3-5 hours) before each workshop.
Additional course leader
Earlier evaluation of the course Evaluation report
Course responsible Kimmo Sorjonen
Institutionen för klinisk neurovetenskap
Contact person -