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-Inte del av forskarutbildningsprogram |
Language | English |
Credits | 3.0 |
Notes |
The course meets the requirements for a general science course. |
Date | 2023-03-20 -- 2023-03-31 | Responsible KI department | Institutionen för lärande, informatik, management och etik |
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. On the first day of the course there will be an introduction via Zoom. The teaching and learning methods include video lectures, self-study, individual self-assessment tests, computer-based application exercises, an individual examination, and statistical software demonstration videos in SPSS and R. Interaction with other participants or teachers will be possible via the discussion forum in Canvas throughout the course. Participants are welcomed to send e-mails to the teacher or attend open office hours on Zoom. There will be mandatory seminars and group discussions via Zoom the last day of the course. |
Compulsory elements | The computer-based exercises and the seminars on the last day of the course are mandatory. The course leader assesses whether and if so, how absence can be compensated. The individual examination must be completed to pass the course. |
Examination | Assessment of the intended learning outcomes by a passing grade on the individual examination. The participants will have to demonstrate their ability to perform, recognize, critically examine and discuss the statistics presented 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). 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 | Mandatory attendance via zoom. |
Additional course leader | |
Latest course evaluation | Course evaluation report |
Course responsible |
Henrike Häbel Institutionen för lärande, informatik, management och etik henrike.habel@ki.se |
Contact person |
Nora Espahbodi Institutionen för lärande, informatik, management och etik nora.espahbodi@ki.se |
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