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  6. PU5017: Applied Statistics

PU5017: APPLIED STATISTICS (2022-2023)

Last modified: 20 Oct 2022 11:01


Course Overview

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

Course Details

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

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 Master Of Science In Health Data Science 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 Master Of Science In Biotechnology And Bioinformatics 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. 
  • How do I assess the relationship between a numerical and a categorical variable? T-test, ANOVA, Mann-Whitney and Kruskal-Wallis tests. 
  • How do I assess the relationship between two categorical variables? Chi-square and McNemar tests. 
  • How do I assess the relationship between two numerical variables? Correlation. 
  • How do I quantify how much one numerical variable change when other variable(s) change as well? Single and multiple linear regression.
  • How do I quantify the strength of association between a binary variable and other variables? Relative risk, odds ratio and logistic regression.

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 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Class Test - Multiple Choice Questions

Assessment Type Summative Weighting 30
Assessment Weeks 14 Feedback Weeks 16

Look up Week Numbers

Feedback

Each question has feedback on wrong answers submitted and how to arrive at correct answer. Feedback received once grades released, a few days after the due date.
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualEvaluateDemonstrate the ability to critically appraise the presentation and interpretation of results in the literature
ProceduralApplyApply the concept of statistical inference to health research
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

Class Test - Multiple Choice Questions

Assessment Type Summative Weighting 60
Assessment Weeks 19 Feedback Weeks 25

Look up Week Numbers

Feedback

Group-level feedback will be provided using slides and/or a video presentation.
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralApplyApply the concept of statistical inference to health research
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

Class Test - Multiple Choice Questions

Assessment Type Summative Weighting 10
Assessment Weeks 11 Feedback Weeks 13

Look up Week Numbers

Feedback

Each question has feedback on wrong answers submitted and how to arrive at correct answer. Feedback received once grades released, a few days after the due date.
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralApplyApply the concept of statistical inference to health research
ReflectionAnalyseDemonstrate the ability to present and interpret results from statistical analyses appropriately

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ProceduralApplyDevelop a working knowledge of a statistical software package for data management and analysis
ReflectionAnalyseDemonstrate the ability to present and interpret results from statistical analyses appropriately
ProceduralApplyApply suitable statistical methods to answer research questions in a variety of contexts and study designs
ConceptualEvaluateDemonstrate the ability to critically appraise the presentation and interpretation of results in the literature
ProceduralApplyApply the concept of statistical inference to health research
 

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