Kurskatalog forskarutbildning - HT18

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Titel Methods for statistical analysis: From analysis of variance to multilevel modeling
Kursnummer 2666
Program 0-Inte del av forskarutbildningsprogram
Språk Engelska
Antal högskolepoäng 4.0
Noteringar Kursen uppfyller kraven för en allmänvetenskaplig kurs.

Datum 2018-04-19 -- 2018-06-01
Kursansvarig institution Institutionen för klinisk neurovetenskap
Särskild behörighet Documented knowledge about basic statistics
Kursens syfte To give graduate students an opportunity to learn to use a number of statistical methods.
Kursens lärandemål 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
Kursens innehåll The above mentioned methods for statistical analysis.
Arbetsformer 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.
Obligatoriska moment 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.
Kurslitteratur och övriga läromedel 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
Antal studenter 18 - 23
Urval av studenter 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).
Övrig 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.
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Kursansvarig Kimmo Sorjonen
Institutionen för klinisk neurovetenskap

Kimmo.Sorjonen@ki.se
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