Course catalogue doctoral education - HT18

  • Ansökan kan ske mellan 2018-04-16 och 2018-05-15
Application closed
Title Basic Course in Medical Statistics
Course number 1383
Programme 0-Inte del av forskarutbildningsprogram
Language English
Credits 3.0
Notes The course meets the requirements for a general science course.

Date 2018-03-12 -- 2018-03-23
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 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 40 - 45
Selection of students Date for registration as a doctoral student (priority given to earlier registration date). Please make sure that you have entered the correct registration date for doctoral education in your personal profile.
More information This course is a TBL-course. 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 are: March 12, 13, 15, 19, 21 and 23.
Additional course leader
Earlier evaluation of the course Evaluation report
Course responsible Mesfin Tessma
Institutionen för lärande, informatik, management och etik
Contact person Margareta Krook-Brandt
Institutionen för lärande, informatik, management och etik

Elisabeth Löfgren
Institutionen för lärande, informatik, management och etik