Medical Statistics Basic Concepts
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.
Doctors, dentists, nurses, allied health professionals, researchers, academics, service staff, and students, who seek clear understanding of basis of statistics.
This course assumes a 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, encourage reflection, discussions, questions and answers. The tutor will go around to examine each participant’s project to provide suggestions, corrections and efficiency tips.
Each participant receives an instructional workbook to work through and keep.
Certificate of Completion & After Training Support
Each participant receives a certificate of completion and ongoing after training support via phone, email and a weekly live questions and answers Webinar, Friday mornings 11-12 noon GMT.
The course is sub-divided into the following lessons:
1- Basic Statistical Concepts
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 demonstrate the importance of knowing the types and levels of data measurement. – The Role of Statistics, Statistical Symbols, and Data Types.
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. You draw inference about a population parameter based on parameter from a sample taken from the population. There are so many inferential tests and techniques available.
In this lesson, you will cover the following topics:
- The Normal Distribution
- Skewness and Kurtosis Distributions
- Confidence Interval, Confidence Level, and Margin of Error
- The tail of the hypothesis: 1-tail and 2-tail
- Hypothesis or Significance Testing
- Degrees of Freedom
- Type I and Type II Errors
- Power of the Test
- Power and Sample Size Calculation.
- Please bring your laptop with IBM SPSS software installed and tested for working correctly. If you need to download a free trial version, here is a link to download.
- Practice files come pre-loaded with a working copy of SPSS software.