Overview of Statistical Techniques for Healthcare
The goal of this course is to prepare you to effectively apply the best statistical method through SPSS. We aim to provide a framework for advanced statistical procedures so you can choose, or advise others to choose, the most appropriate statistical method to address a healthcare related research question. For each statistical method we enable you to understand assumptions underlying the analysis and to appreciate the importance of these when drawing conclusions and interpreting output.
We will take a lecture style teaching approach to the statistical methods outlined below and rather than focus on the key mathematical equations we will focus on knowing which portions of the output deserve the most attention and how to interoperate these.
Course Topics in Detail:
- Introduction and Overview
- Introducing SPSS
- Defining, Entering and Editing Data in SPSS
- Central Tendency & Dispersion
- Analysing combinations of Categorical & Continuous Data Using T-Tests
- Introduction to Regression
- Mean Differences Between Groups: One-Factor Anova
- Mean Differences Between Groups: Two-Factor Anova
- Binary Logistic Regression
- Discriminant Analysis
- Factor Analysis
Please note: This boot camp is not a substitute for a course in statistics. It presupposes you have had such a course in the past and wish to apply statistical methods to data using SPSS. No computer will be used by attendees and The operation of SPSS is not taught although processes will be demonstrated by the trainer on a computer using SPSS. All SPSS public courses are delivered by a professional SPSS Consultant with a minimum of a Masters in Statistics/Maths.