Course catalogue doctoral education - HT21

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Title Basic Course in Medical Statistics - a distance course
Course number 2609
Programme 0-Not part of doctoral programme
Language English
Credits 3.0
Notes The course meets the requirements for a general science course.

Date 2021-12-06 -- 2021-12-17
Responsible KI department Department of Learning, Informatics, Management and Ethics
Specific entry requirements
Purpose of the course The aim of the course is to introduce the basic statistical methods and the fundamental principles of statistical inference and to offer basic skills that involve hands on data analysis using statistical software.
Intended learning outcomes The course participants shall after the course be able to; 1) perform and interpret basic descriptive statistics from frequency tables and graphical presentations, 2) perform and interpret results from basic inferential statistical analysis and tests, 3) recognize and critically examine the statistics being presented in articles within the medical field of research.
Contents of the course Concepts being treated are descriptive vs inferential statistics, collection of data and study design, different types of data and level of measurement, independent and dependent samples, correlation and regression, hypothesis testing and different type of statistical errors in relation to the testing and data collection procedure. The major topics for the course are t-test, chi-square test, nonparametric test and regression analysis, and how to evaluate the assumptions for the different techniques.
Teaching and learning activities The course is a hybrid course mixing online studies with face-to-face in-class final seminars. The course activities are video lectures, self-study, self-assessment exercises, individual computer based exercises, and statistical software demonstration videos in Statistica and SPSS. The first and last day of the course will be face-to-face with an introduction the first day and seminars and group discussions the last day.
Compulsory elements Attendance is mandatory for the seminars on the last day of the course. If the student is absent, he or she will have priority for admission to the seminars the next time the course is offered. If a student joins the course when physically located in another country it is the student's responsibility to contact the course director in advance to agree on an individual supplementary task to compensate for the absence.
Examination Correct answers on the individual computer based exercises. The doctoral students will have to demonstrate their ability to recognize, critically examine and discuss the statistics presented in the medical articles during the seminars.
Literature and other teaching material Recommended literature:
Medical Statistics - A textbook for the health sciences, 4th edition, Wiley by Michael J. Campbell et al. (2007). Accessible as e-book with KI-ID via KI-library (KIB).
Number of students 35 - 45
Selection of students Selection will be based on: 1) start date of doctoral studies (priority given to earlier start date). Please make sure that you have entered the correct start date for doctoral education in your personal profile. 2) the relevance of the course syllabus for the applicant's doctoral project/post doctoral research (according to written motivation).
More information Course dates (via Zoom): 6th December and 17th December (mandatory).
Additional course leader Mesfin Tessma
Latest course evaluation Course evaluation report
Course responsible Mesfin Tessma
Department of Learning, Informatics, Management and Ethics

Mesfin.Tessma@ki.se
Contact person Karin Wrangö
Institutionen för lärande, informatik, management och etik

karin.wrango@ki.se