| TAMS12 | Biostatistics, 6 ECTS credits. /Biostatistik/ |
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Prel. scheduled
hours: 48 |
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Area of Education: Science Subject area: Mathematics |
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| Advancement level
(A-D): C
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| Aim: The course is intended to teach the students how to use different models to analyse results from factorial experiments. Design of experiments, selection of models, and ability to interpret the results and to draw conclusions are important. Knowledge of alternative nonparametric methods is also essential. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) A first course in probability and statistics, TAMS 04,TAMS 19 or a similar course. Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: Teaching consists of lectures, lessons, obligatory computer lessons and obligatory assignments. |
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| Course contents: Single-factor (including random effects model), two-factor and multifactor experiments in theory and practice. Randomized blocks, Latin squares and related designs. Complete 2^k factorial designs and fractional factorial designs. Response surface methods. Analysis of variance. Pairwise and multiple comparisons. Guidelines for designing experiments. Transformation of data. Power calculations. Nonparametric methods; sign test, Wilcoxon's tests, Kruskal-Wallis test, Friedmann´s test etc. Contingency tables. Fisher's exact test. Analysis of data by using statistical software. |
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| Course literature: Montgomery, D.C.: Design and Analysis of Experiments. Fifth/Sixth Edition. Wiley. Additional material published by the department. Compendium with exercises published by the department. Handbook of formulas published by the department. |
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| Examination: | |||
| Written examination Computer exercises Hand in excersises |
2,5 p 0,5 p 1 p |
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Course language is Swedish. Department offering the course: MAI. Director of Studies: Eva Enqvist Examiner: Eva Enqvist Link to the course homepage at the department Course Syllabus in Swedish |
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