Principles of Data Collection - MA6528

Location Term Level Credits (ECTS) Current Convenor 2019-20
Canterbury Autumn
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6 15 (7.5) DR A Laurence

Pre-requisites

Pre-requisite: MAST4009 (Probability), MAST4011 (Statistics) and at least one of MAST5007 (Mathematical statistics) and MAST5001 (Applied statistical modelling 1)

Restrictions

None

2019-20

Overview

Sampling: Simple random sampling. Sampling for proportions and percentages. Estimation of sample size. Stratified sampling. Systematic sampling. Ratio and regression estimates. Cluster sampling. Multi-stage sampling and design effect. Questionnaire design. Response bias and non-response.

General principles of experimental design: blocking, randomization, replication. One-way ANOVA. Two-way ANOVA. Orthogonal and non-orthogonal designs. Factorial designs: confounding, fractional replication. Analysis of covariance.

Design of clinical trials: blinding, placebos, eligibility, ethics, data monitoring and interim analysis. Good clinical practice, the statistical analysis plan, the protocol. Equivalence and noninferiority.

Details

This module appears in:


Contact hours

38 hours

Method of assessment

80% examination, 20% coursework

Indicative reading

Barnett, V. (2002) Sample Survey Principles and Methods. 3rd edition. New York, Wiley.
Cox, D.R. (1992) Planning of Experiments. New York, Wiley.
Cochran, W.G. & Cox, G.M. (1992) Experimental Designs. 2nd edition. New York, Wiley.
Cox. D.R & Reid, N. (2000) The Theory of the Design of Experiments. Boca Raton, Chapman & Hall/CRC
Lawson, J. (2015) Design and Analysis of Experiments with R. Boca Raton, Chapman & Hall/CRC.
Matthews, J. N. S. (2000) An Introduction to Randomized Controlled Clinical Trials. 2nd edition. Boca Raton, Chapman & Hall/CRC.

Learning outcomes

The intended subject specific learning outcome
On successfully completing the level 6 module students will be able to:
1 demonstrate systematic understanding of key aspects of sampling and experimental design;
2 demonstrate the capability to deploy established approaches accurately to analyse and solve problems using a reasonable level of skill in calculation and manipulation of the material in the following areas: sampling, questionnaire design, analysis of variance, clinical trial design;
3 apply key aspects of sampling and experimental design in well-defined contexts, showing judgement in the selection and application of tools and techniques;
4 show judgement in the application of R for the analysis of data from experiments.

The intended generic learning outcomes:
On successfully completing the level 6 module students will be able to:
1 manage their own learning and make use of appropriate resources;
2 understand logical arguments, identifying the assumptions made and the conclusions drawn;
3 communicate straightforward arguments and conclusions reasonably accurately and clearly;
4 manage their time and use their organisational skills to plan and implement efficient and effective modes of working;
5 solve problems relating to qualitative and quantitative information;
6 make competent use of information technology skills such as online resources (moodle), internet communication;
7 communicate technical and non-technical material competently;
8 demonstrate an increased level of skill in numeracy and computation;
9 demonstrate the acquisition of the study skills needed for continuing professional development.

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