Syllabus database for doctoral courses
-
Startpage
Syllabus database for doctoral courses
SYLLABI FOR DOCTORAL COURSES
| Swedish title | Grundkurs i medicinsk statistik |
|---|---|
| English title | Basic Course in Medical Statistics |
| Course number | 3134 |
| Credits | 3.0 |
| Notes |
The course meets the requirements for a general science course. |
| Responsible KI department | Institutionen för lärande, informatik, management och etik |
| Specific entry requirements | |
| Grading | Passed /Not passed |
| Established by | The Board of Doctoral Education |
| Established | 2018-09-03 |
| 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). |
Course responsible |
Azadeh Chizarifard Institutionen för lärande, informatik, management och etik azadeh.chizarifard@ki.se |
| Contact person |
Nora Espahbodi Institutionen för lärande, informatik, management och etik nora.espahbodi@ki.se |
