Biostatistics (Bologna) STATS4066
- Academic Session: 2024-25
- School: School of Mathematics and Statistics
- Credits: 12
- Level: Level 4 (SCQF level 10)
- Typically Offered: Semester 2
- Available to Visiting Students: No
- Collaborative Online International Learning: No
Short Description
The course provides the basic concepts and the statistical methods for the analysis of problems in the biomedical sciences
Timetable
Timetable information is available from the University of Bologna.
http://corsi.unibo.it/1Cycle/StatisticalSciences/Pages/course-timetable.aspx?CodiceCorso=8873&Indirizzo=A32&AnnoCorso=2
Requirements of Entry
This course is only available to students on the Double Degree programme in Statistics with the University of Bologna.
Excluded Courses
Statistics 3B: Biostatistics [STATS3012]
Biostatistics [STATS4006]
Biostatistics (Level M) [STATS5015]
Co-requisites
-/-
Assessment
End-of-course examination, carried out in accordance with the assessment procedures and regulations of the University of Bologna.
Main Assessment In: April/May
Are reassessment opportunities available for all summative assessments? Not applicable for Honours courses
Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non-Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below.
Course Aims
This course aims
■ to expose students to the statistical problems arising in the biomedical sciences;
■ to develop a thorough understanding of different types of epidemiological studies as well as key epidemiological measures; and
■ to train students in fitting and interpreting models for survival data as well as generalised linear models applied to biomedical data
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ calculate and interpret the principal epidemiological measures, such as prevalence and incidence, in various types of epidemiological studies;
■ fit and interpret generalized linear models applied to biomedical data; and
■ apply the methods and models for the analysis of survival data.
Minimum Requirement for Award of Credits
Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.