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 Prof AFG Taktak
Physics
Afgt@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2018-19 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

The student will have the ability to formulating a research question

 The student will be able to carry out clinical study design

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

The student will be aware of research goverance issues

 The student will have knowledge of evidence-based practice


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

Lecture - Series of one hour lectures

Sessions are conducted by medical physicists drawing on their knowledge and experience from their clinical work.

Tutorial - Problem solving and revision

Mainly devoted to helping student solve statisitical problems and discuss ethical issues. Some model answers will be presented and their is an opportunity for questions.

Laboratory Work - Use of software packages

Priblem solving using statisical packages such as SPSS


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 15
Series of one hour lectures
  7
Problem solving and revision
6
Use of software packages
    28
Timetable (if known) Sessions are conducted by medical physicists drawing on their knowledge and experience from their clinical work.
 
  Mainly devoted to helping student solve statisitical problems and discuss ethical issues. Some model answers will be presented and their is an opportunity for questions.
 
Priblem solving using statisical packages such as SPSS
 
     
Private Study 72
TOTAL HOURS 100

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Unseen Written Exam  2 hours  end sesmester 2  70  Yes    Examination Notes (applying to all assessments) - none 
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Coursework  2000 words (or equiv  early semester 2  20  Yes  Standard UoL penalty applies  Critical Appraisal 
Coursework  1000 words or equiv  early sesmester 2  10  Yes  Standard UoL penalty applies  SPSS assignment 

Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
Explanation of Reading List: