Last modified: 25 Mar 2016 11:37
This
course intends to develop the student's awareness of the fact that statistical
techniques are integral to scientific research. Researchers must be able to
specify a precise research question in statistical terms and then select an appropriate
study design in order to carry out an effective research project. They must
also be able to assess the adequacy of the research presented in scientific or
medical literature. This course equips the student with knowledge of statistical principles
and statistical methods. In addition, the student will gain experience of
analysing, presenting and interpreting numerical information.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | None. | Sustained Study | No |
| Co-ordinators |
|
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What are data? Data types and presentation of data
What is chance? Probability
How does my data relate to the real world? Samples, distributions, statistical inference
Answering research questions with statistical techniques: Hypothesis testing
What if my data are awkward? Non-parametric methods
How does one variable relate to the other? Correlation and simple linear regression
How does one variable relate to several others? Multiple linear regression
Study design for research: Odds ratios and relative risks
Awkward data: Transformations
Relating binary health outcomes to other variables: Logistic regression
Information on contact teaching time is available from the course guide.
The course will be assessed using a multiple choice class test for 10%, a written assessment for 30% and an examination in January (60%).
There are no assessments for this course.
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