Course catalogue doctoral education - VT24
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Title | Basic Course in Medical Statistics |
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Course number | 3134 |
Programme | 0-Not part of doctoral programme |
Language | English |
Credits | 3.0 |
Notes |
The course meets the requirements for a general science course. |
Date | 2021-10-18 -- 2021-10-29 | 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 | This course is a Team-Based Learning (TBL) course. TBL is a specific form of learning method that integrates individual assessment and group work with immediate feedback. Focus will be on solving statistical problems in a team setting. This two weeks course consists of online preparation through video lectures and exercises, and several TBL sessions (in class meeting). The time in between TBL sessions will be spent reading the course material, and preparing for the assessment and group application exercises. |
Compulsory elements | In class attendance during TBL sessions are mandatory for passing grade. If a student misses one of the five TBL sessions a supplementary exercise will be given. If the student misses more than one TBL session it is recommended that the student takes the course at another occasion (since absence also affects the other members of the team). |
Examination | Individual and group readiness assurance tests, as well as application exercises. |
Literature and other teaching material | Medical Statistics - A textbook for the health sciences, 4th edition, Wiley by Michael J. Campbell et al. (2007).
Other recommended literature on basic statistics: Essential medical statistics, Betty R. Kirkwood & Jonathan A.C. Sterne, Blackwell, (2003). Intuitive Biostatistics, 1st edition, Oxford University Press by Harvey Motulsky, (2009). Medical statistics at a glance, 1st edition, Blackwell Science by Aviva Petrie & Caroline Sabin, (2000). An Introduction to Medical Statistics, 3rd edition, Oxford University Press by Martin Bland, (2000). |
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), 2) the relevance of the course syllabus for the applicant's doctoral project/post doctoral research (according to written motivation). |
More information | This course is a TBL-course, former course number was 1383. TBL, Team-Based Learning, is a special form of learning that integrates individual work, group work and immediate feedback. Focus will be on solving statistical problems in group/team setting. The course will consist of 2-3 full days per week for two weeks. Course dates (via Zoom) are: October 18-19, 21 and October 25, 27, 29. |
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 |
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