Course catalogue doctoral education - VT24
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Title | Basic Course in Medical Statistics - a distance course |
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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 | 2022-04-25 -- 2022-05-06 | 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 field of medical 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.
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Teaching and learning activities | The course is an online distance course. The teaching methods include video lectures, self-study, individual self-assessment tests, computer based application exercises, and statistical software demonstration videos in SPSS and R. The first and last day of the course is scheduled with an introduction the first day and mandatory 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. |
Examination | Successful completion of the computer based application 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 | 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).
or later version; Medical Statistics - A textbook for the health sciences, 5th edition, Wiley-Blackwell by Walters et al. (2021). |
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: 25 April and 6 May, 2022 (mandatory attendance via zoom) |
Additional course leader | |
Latest course evaluation | Course evaluation report |
Course responsible |
Mesfin Tessma Department of Learning, Informatics, Management and Ethics Mesfin.Tessma@ki.se |
Contact person |
Nora Espahbodi Institutionen för lärande, informatik, management och etik nora.espahbodi@ki.se |
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