PHPS40190 Biostatistics I

Academic Year 2021/2022

Topics covered in this module include:
- Understanding data, types of variables, levels of measurement, distributions of data;
- Descriptive statistics, measures of central tendency, measures of dispersion;
- Summarising and presenting descriptive data;
- Concept of sampling variation which underlies significance testing and confidence interval estimation;
- Standard errors of means & proportions. Confidence intervals for means & proportions;
- Hypothesis testing, statistical significance, Type 1 and Type II errors;
- Assumptions underlying statistical tests. Parametric and nonparametric techniques;
- Comparisons between groups; understanding appropriate tests to use based on data and assumptions;
- Significance tests for differences in means (z test, t tests); CI's for differences in means;
- Significance testing for differences in proportions (chi sq tests); CI's for differences in proportions;
- Non parametric tests for differences in distributions / medians;
- Correlation, simple linear regression;
- Introduction to analysis of qualitiative data;
- Introduction to use of multivariable methods.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module the student will:
- understand data and the implications of type of data and level of measurement for subsequent analyses;
- be fully conversant with descriptive statistics appropriate to the data;
- understand sampling variation, significance testing and confidence intervals;
- be able to generate research hypotheses based on data and know how to test them;
- understand the assumptions underlying statistical techniques;
- be able to choose and carry out appropriate basic statistical techniques for two-group comparisons;
- be able to present and interpret p values;
- have an understanding of correlation and regression,
- have a broad overview of multivariable analysis.

Indicative Module Content:

- Data, types of variables, levels of measurement, distributions of data;
- Descriptive statistics, measures of central tendency, measures of dispersion;
- Summarising and presenting descriptive data;
- Concept of sampling variation which underlies significance testing and confidence interval estimation;
- Standard errors of means & proportions. Confidence intervals for means & proportions;
- Hypothesis testing, statistical significance, Type 1 and Type II errors;
- Assumptions underlying statistical tests. Parametric and nonparametric techniques;
- Comparisons between groups; understanding appropriate tests to use based on data and assumptions;
- Significance tests for differences in means (z test, t tests); CI's for differences in means;
- Significance testing for differences in proportions (chi sq tests); CI's for differences in proportions;
- Non parametric tests for differences in distributions / medians;
- Correlation, simple linear regression;
- Introduction to analysis of qualitiative data;
- Introduction to use of multivariable methods.

Student Effort Hours: 
Student Effort Type Hours
Lectures

20

Small Group

8

Tutorial

8

Autonomous Student Learning

80

Total

116

Approaches to Teaching and Learning:
Face to face lectures; Practical sessions; Tutorials 
Requirements, Exclusions and Recommendations
Learning Requirements:

Students should have completed the module PHPS40010, Fundamentals of Epidemiology, or equivalent. For more information, please contact the module coordinator.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Multiple Choice Questionnaire (Short): MCQ Varies over the Trimester n/a Standard conversion grade scale 40% No

20

Multiple Choice Questionnaire: End of trimester MCQ End of trimester MCQ n/a Standard conversion grade scale 40% Yes

40

Assignment: Analytical assignment using appropriate descriptive statistics and tests of hypothesis to answer specific questions Coursework (End of Trimester) n/a Standard conversion grade scale 40% Yes

40


Carry forward of passed components
Yes
 
Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Mid-term: Group Feedback Examination: Individual feedback post results release on request.