Module Details

Module Code: BIOL8017
Title: Biomedical Statistics
Long Title: Statistics in Biomedical Scien
NFQ Level: Advanced
Valid From: Semester 1 - 2017/18 ( September 2017 )
Duration: 1 Semester
Credits: 5
Field of Study: 4211 - Biochemistry & Cell Biology
Module Delivered in: 1 programme(s)
Module Description: This module provides the learner with an understanding of how and when to employ statistical tools in laboratory science.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Recognise when and how to apply statistical tests.
LO2 Evaluate and assess the analytical performance of an assay.
LO3 Formulate strategies to optimise the diagnostic performance of an assay.
LO4 Assess the diagnostic performance of an assay.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Statistical Tests
Overview of statistical tests and their application to clinical sciences
Assessment and Evaluation of Analytical Performance
Precision, trueness and accuracy, analytical range, detection limit, and specificity.
Establisment and Use of Reference Ranges
Recognition of abnormality in test results, reference population selection, IFCC recommendations on acceptable methods to calculate reference ranges, limitations of reference ranges, and other values used for diagnosis and treatment.
Diagnostic Performance
Defining diagnostic performance, effect of prevalence on performance parameters, manipulating test decision points, receiver operating characteristic curves, livelihood ratios, effects of combining tests, clinical examples of timed based interpretation, and case studies to conduct data analysis to calculate the performance parameters.
Preanalytical variables and Biological Variation
Specimen collection, controllable-pre-analytical variables, uncontrollable pre-analytical variables, and the delta checks and reference change value in identifying pre-analytical variables.
Module Content & Assessment
Assessment Breakdown%
Coursework30.00%
End of Module Formal Examination70.00%

Assessments

Coursework
Assessment Type Short Answer Questions % of Total Mark 30
Timing Week 6 Learning Outcomes 1,2,3,4
Assessment Description
Theory
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 70
Timing End-of-Semester Learning Outcomes 1,2,3,4
Assessment Description
End-of-Semester Final Examination
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Statistics in Laboratory Science Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Statistics in Laboratory Science Every Week 5.00 5
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 2.00
This module has no Part Time workload.
 
Module Resources
Recommended Book Resources
  • Carl A. Burtis, Edward Ashwood, David Bruns. (2012), Tietz Textbook of Clinical Chemistry and Molecular Diagnostics, 5e, [ISBN: 978-1416061649].
This module does not have any article/paper resources
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_SBISC_8 Bachelor of Science (Honours) in Biomedical Science 8 Mandatory