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MSc Model-based Drug Development / Course details

Year of entry: 2020

Course unit details:
Data Analysis in Pharmacokinetics and Pharmacodynamics

Unit code PHAR69923
Credit rating 30
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 2
Offered by Pharmacy
Available as a free choice unit? No

Overview

Data analysis in PKPD studies is a specialised area of modelling that combines mathematical and statistical knowledge in data fitting with the sound knowledge of the human body as a system to enable choosing more mechanistic models. The analysis can describe the observed data but also it can be used for the purpose of prediction. The mathematical background provided in this module relates to linear and non-linear fitting, optimisation procedures that are applied to objective function(s), optimal design issues. Statistical input relates to finding inferences, covariates, application of non-linear mixed effect modelling, and application of Bayesian or non-Bayesian methods amongst other subjects. This Unit also provides information on available tools for data analysis and their applications. Most commonly used platforms for data analysis such as WinNonlin and NONMEM are part of the module where students analyse some data with a number of different packages and learn their advantages and disadvantages.

 

Teaching and learning methods

The total teaching and assessment methods would be based on 10 notional learning hours per credit (i.e. a total of 300 learning hours teaching and assessment for this 30-credit unit). 

Knowledge and understanding

  • Distinguish the capability of different tools to perform certain type of data analysis

 

Intellectual skills

  • Make informed choices on using various models to be used for fit data      obtained from studies involving Enzyme Kinetics, Pharmacokinetics and Pharmacodynamics
  • Report essential part of the results from data analysis

 

Transferable skills and personal qualities

  • Critically assess published reports in the field of Pharmacometrics for consistency in use of methods and other assumptions.

 

Assessment methods

Method Weight
Written exam 40%
Written assignment (inc essay) 30%
Set exercise 30%

Study hours

Scheduled activity hours
Assessment written exam 2
Lectures 30
Practical classes & workshops 20
Seminars 12
Tutorials 10
Placement hours
Placement 48
Independent study hours
Independent study 178

Teaching staff

Staff member Role
Kayode Ogungbenro Unit coordinator

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