Statistical Methods in Epidemiology, 7.5 credits

Epidemiometri, 7.5 hp

732G24

The course is disused.

Main field of study

Statistics

Course level

First cycle

Course type

Single subject and programme course

Director of studies or equivalent

Lotta Hallberg
Possible deviation from course syllabus/programme syllabus
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Weeks Language Campus ECV
F7KSD Bachelor´s Programme in Statistics and Data Analysis 13 (Autumn 2018) Swedish Linköping, Valla

Main field of study

Statistics

Course level

First cycle

Advancement level

G2X

Course offered for

  • Bachelor´s Programme in Statistics and Data Analysis

Entry requirements

For admission to the course, the student is required to have completed the courses Analysis of Public Statistics, Linear Statistical Models and Theory of Statistics I, 7.5 HE credits.

Intended learning outcomes

On completion of the course, the student should be able to:
- demonstrate advanced knowledge and ability to use important statistical methods in design and analysis of epidemiological studies,
- knowledge about various types of methods that are used in the epidemiometrics.

Course content

The course addresses different types of studies, such as cohort studies, (matched and unmatched) case-control studies and randomised clinical trials. Basic epidemiological measures are also covered, as are traditional analytical methods (Mantel-Haenszel techniques) and analytical methods that are based on regression models (logistic regression, Poisson regression and Cox regression).

Teaching and working methods

The teaching takes the form of lectures, computer exercises and individual supervision. Independent studies are a necessary complement to the teaching.

Examination

The course is examined through a written/oral examination, written assignments and a project.

Grades

,

Other information

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Department

Institutionen för datavetenskap

No examination details is to be found.

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