# Modules

### ONC8007 : Research Methods 2: Statistics (E-learning) (Inactive)

• Inactive for Year: 2020/21
• Module Leader(s): Mr David McGeeney
• Owning School: FMS Graduate School
• Teaching Location: Off Campus
##### Semesters
 Semester 1 Credit Value: 10 ECTS Credits: 5.0

#### Aims

This module aims to develop students understanding of elementary statistical methods such as estimation and hypothesis testing using the statistical package MINITAB. Students will learn about some of the statistical techniques used in collecting data in oncology and palliative care and develop a critical understanding of the statistical methods in analysing data.

#### Outline Of Syllabus

This module covers the following topics:
•Statistics: an overview
•Descriptive statistics
•Inferential statistics
•Population and parameters
•Normal distributions
•Samples, estimation and standard errors
•Confidence intervals
•The idea of a hypothesis test
•Tests to compare two groups I: the t-test
•Tests to compare two groups II: binary data
•Principle of sample size calculations
•Survival analysis

#### Teaching Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

##### Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion210:0020:00Independent assessment preparation
Guided Independent StudyDirected research and reading123:0036:00Online content
Guided Independent StudySkills practice112:0022:00Mini Tab
Guided Independent StudyOnline Discussion111:0011:00Via discussion board
Total100:00
##### Teaching Rationale And Relationship

The design of the on-line material will not only focus on a range of inferential and descriptive statistics, but will also enhance the student's practical ability to apply statistical rigour to oncology/palliative care research.

#### Assessment Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

The format of resits will be determined by the Board of Examiners

##### Exams
Description Length Semester When Set Percentage Comment
PC Examination201M20Timed Online MCQs, 10 questions
##### Other Assessment
Description Semester When Set Percentage Comment
Written exercise1M80Critique of research extracts (short answer questions)
##### Formative Assessments
Description Semester When Set Comment
PC Examination1MThree sets of staggered formative timed MCQs, designed to test the understanding of the topics covered
##### Assessment Rationale And Relationship

The purpose of the exam is to consolidate the materials covered in the learning materials. The inclusion of a critique will assess how well candidates apply statistical principles to published work and therefore develop skills which will help students prepare for the dissertation