Module Details

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title MEDICAL STATISTICS AND EXPERIMENTAL DESIGN
Code PHYS862
Coordinator Dr PS Ganney
Physics
Paul.Ganney@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2024-25 Level 7 FHEQ Whole Session 10

Aims

The aim is to give the students the ability to use modelling and statistical techniques and to solve problems using a range of skills and to check results experimentally. The aim is to give the students the knowledge and skills to carry out the analysis of results from medical instrumentation and the methods to interpret results and determine their statistical relevance. The module is aimed at giving the students the tools to design a clinical study and gain experience so that they can compare experimental and calculated results. There will be a set of presentations which have the aim to give students information on the ethical issues in clinical study design and methods to critically appraise published literature.

Learning Outcomes

(LO1) The student will have the ability to formulating a research question

(LO2)  The student will be able to carry out clinical study design

(LO3) The student will be able to carry out and interpret the results of statistical analysis

(LO4) The student will be aware of research goverance issues

(LO5)  The student will have knowledge of evidence-based practice

(S1) IT skills

Syllabus
 

Formulating a research question and research design research ethics and approval adverse event monitoring peer review evidence-based practice Research QA Research funding. Literature review Communication skills statistical analysis, hypothesis testing, power calculations non-parametric tests, analysis of variance correlation and regression relative risk and odds ratio introduction to probability theory ROC analysis Survival analysis. There is a formative class test at the end of the module. Practical sessions in a computer cluster give the students practise using software such as SPSS.

Teaching and Learning Strategies

Teaching Method 1 - Lecture Description: Series of one hour lectures Teaching Method 2 - Tutorial Description: Problem solving and revision Teaching Method 3 - Laboratory Work Description: Use of software packages

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 15

   7

 6

     28
Timetable (if known)              
Private Study 72
TOTAL HOURS 100

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Examination There is a resit opportunity. This is an anonymous assessment. Assessment Schedule (When) :end sesmester 2  0    70       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Critical Appraisal There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :early semester 2  0    20       
SPSS assignment There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :early sesmester 2  0    10       

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.