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  6. PU5017: Applied Statistics

PU5017: APPLIED STATISTICS (2019-2020)

Last modified: 25 Sep 2019 09:58


Course Overview

This course in Applied Statistics intends to focus on the application of statistical techniques in postgraduate research for health professionals, with a particular emphasis on the correct interpretation of statistical analyses. The course will NOT concentrate on the statistical theory underlying the subject. An important component of the course is the use of a statistical package. The statistical package used on this course will be IBM SPSS Statistics 25 which can be used to implement all of the methods taught on this course. 



Course Details

Study Type Postgraduate Level 5
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Rute Vieira

What courses & programmes must have been taken before this course?

  • One of MRes Drug Discovery or MRes Medical Mycology and Fungal Immunology or MSc Clinical Pharmacology or MSc Drug Discovery and Development or MSc Human Nutrition or MSc Global Health and Management or MSc Public Health Research or Master Of Public Health or Master Of Science In Molecular Medicine or Master Of Research In Medical Mycology For Clinicians or MSc Immunology or Master Of Science In Immunology And Immunotherapy or MSc Health Psychology or Master Of Science In Biotechnology, Bioinformatics And Bio-Business or MSc Economics of Health or MSc Bio-Business and Medical Sciences or Master Of Research In Medical Sciences or Master Of Science In Reproductive And Developmental Biology or MSc Genetics or MSc Microbiology or Master Of Science In Industrial Biotechnology

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

What are data? Data types and presentation of data

What is chance? Probability and probability distributions

How does my data relate to the real world? Samples, distributions, statistical inference

Answering research questions with statistical techniques: Hypothesis testing for numerical and categorical variables

Analysing numerical variables: Correlation and simple linear regression

Analysing numerical variables: How does one variable change with several others?  Multiple linear regression

Analysing binary variables: Relative risk, odds ratio and related terms

Analysing binary variables: Logistic regression and comparing diagnostic tests


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Class Test

Assessment Type Summative Weighting 10
Assessment Weeks 10 Feedback Weeks 11

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Feedback

feedback provided directly through MyAberdeen
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Essay

Assessment Type Summative Weighting 30
Assessment Weeks 19 Feedback Weeks

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Feedback

Feedback for the main assignment will be provided through myAberdeen, along along with feedback podcast discussing results.

 Word Count
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Exam

Assessment Type Summative Weighting 60
Assessment Weeks 13 Feedback Weeks 16

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Feedback

feedback provided through MyAberdeen, notes for student and solution given
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ProceduralApplyApply the concept of statistical inference to health reserach
ProceduralApplyApply suitable statistical methods to answer research questions in a variety of contexts and study designs
ReflectionAnalyseDemonstrate the ability to present and interpret results from statistical analyses appropriately
ConceptualEvaluateDemonstrate the ability to critically appraise the use of commonly encountered statistical methods within the health related literature.
ProceduralApplyDevelop a working knowledge of statistical package for social sciences (SPSS) software for data management and analysis
 

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