MCR8016 : Clinical Research Statistics
- Offered for Year: 2019/20
- Module Leader(s): Mr David McGeeney
- Lecturer: Mr Matt Linsley
- Owning School: FMS Graduate School
- Teaching Location: Newcastle City Campus
|Semester 2 Credit Value:||20|
This module is designed to instill a deeper understanding than usual introductory courses in statistics. The module explores the statistical packages of MINITAB and SPSS to help students performing clinical research develop an understanding of elementary statistical methods such as estimation and hypothesis testing. The module aims to:
1. Inform students about some of the statistical techniques used in collecting data in clinical research.
2. Develop a critical understanding of the statistical methods in analyzing data.
3. Provide students with an understanding about the statistical packages available for analyzing data.
Outline Of Syllabus
The syllabus comprises the following elements:
• Application of statistical packages in particular SPSS and Minitab
• 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
|Guided Independent Study||Assessment preparation and completion||60||1:00||60:00||N/A|
|Scheduled Learning And Teaching Activities||Lecture||3||7:00||21:00||2.5 days compulsory lectures. Optional 0.5 day for advanced learning- content will not be assessed|
|Guided Independent Study||Directed research and reading||89||1:00||89:00||Self directive learning and reading|
|Guided Independent Study||Reflective learning activity||30||1:00||30:00||Some use of Discussion Board|
Teaching Rationale And Relationship
The learning 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 clinical research. The teaching will enable the students to develop an understanding of elementary statistical methods as well as an understanding of the statistical packages available for analyzing data.
Students will attend 2.5 days of compulsory lectures. There will be an optional 0.5 day for advanced learning. The content of the optional 0.5 day will not be assessed. Teaching will be supported by the use of the Blackboard Discussion Board.
The format of resits will be determined by the Board of Examiners
|PC Examination||20||2||M||20||Timed Online MCQs, 10 questions|
|Essay||2||M||80||Critique of Research Extracts (Short answer questions)|
Assessment Rationale And Relationship
The critique is designed to assess how well candidates understand statistical principles as applied to published work and help them develop skills for research and for Masters students to prepare for the dissertation component of the course (later). The MCQ is designed to test the students understanding and knowledge of statistics and the software as taught in the module.