This course focuses on the fundamental concepts of statistics used in health and medical research publications. Health and medical examples are used to explain statistical concepts to enable researchers to firstly – understand the concepts, and secondly – to learn to use them in their own research. This is a great course for those preparing for statistical exams.
To ensure that high quality and responsive learning support is given to each participant on our public courses, we only take a small class with a maximum of 9 participants. Therefore, it is important you register your interest early to secure a place.
This course assumes little or no working knowledge of basic Statistics. You are encouraged to come along with thoughts or data from a research.
The teaching method is mainly hands-on. It is supported by presentation, demonstration, discussions, questions and answers.
The tutor will screen share to examine each participant’s project to provide suggestions, corrections and efficiency tips.
Each participant receives an instructional workbook and the video recording of the training.
Each participant receives a certificate of completion and ongoing after training support via phone, email and screen sharing.
This course is sub-divided into following lessons:
1- Basic Statistical Concepts: The Role of Statistics, Statistical Symbols, and Data Types
In this lesson, you will be introduced to the role of statistics; exposed to the common statistical symbols that you may come across when reading literature and understand the importance of data types and levels of data measurement.
2- Descriptive Statistics
In this lesson, you will be introduced to descriptive statistics. Descriptive statistics deals with summarising data as briefly and as accurately as possible by the use of Averages (mean, median), Variance, Standard Deviation, Standard Error, Range, Minimum, Maximum, Percentiles, Ratio, and Percentages.
3- Descriptive Graphs
In this lesson, you will be introduced to graphical statistical tools. You will explore different types of graphs and observe when to use them. A selection of descriptive graphs to explore are: Bar Charts, Pie Charts, Histograms, Box Plots, error bars, Box-and-Whisker Plots, Scatter Plots, Error Bars, ROC curves.
4- Inferential Statistical Concepts
This lesson will introduce you to inference statistics. We study a sample and infer the outcome of the sample to the population from which the sample is taken.
In this lesson, you will cover the following topics:
We only need 4 interested people to put up an Advance course, so please submit your interest to make it happen.
