Medical Statistics - Level 1 (The Course)
Course Info
This course includes 5 attempts.
For many students and aspiring researchers, learning statistics is a frightful rite of passage.
Our aim in creating this course is to provide you with a lighthearted but focused practical approach to understand and use statistics in research.
By the end of this course, you should be able to:
- explain fundamental statistical concepts,
- distinguish between the different types of statistical analysis,
- create an appropriate statistical analysis plan for a study, and
- perform most common statistical analysis using SPSS.
We hope you have as much fun learning as we did writing this course.
Enjoy!
Course Material
- Welcome
- Fundamentals of Statistics I
- Statistical Terms
- Probability: Simple Probability
- Compound Probability
- Conditional probability
- Exercise: Fundamentals of Statistics I
- Fundamentals of Statistics II
- More Statistical Terms
- Probability Distributions
- Normal distribution and z-scores
- Sampling Distributions and the Central Limit Theorem
- Other Common Distributions
- Exercise: Fundamentals of Statistics II
- Fundamentals of Statistics III
- Research Questions and Hypotheses
- Theoretical Basis of Hypothesis Testing
- Confidence Intervals
- Non-parametric tests
- Interpreting p values and confidence intervals
- Exercise: Fundamentals of Statistics III
- Study Designs and Scientific Evidence
- Common Study Designs
- Hierarchy of Evidence
- Sampling
- Randomization
- Exercise: Study Designs and Scientific Evidence
- Preparing Your Data for Analysis
- Types of Data/Variables
- Scales of Measurement of Data
- Creating a Dataset
- Rules for Coding
- Exercise: Preparing Your Data for Analysis
- Data Management in SPSS
- The SPSS Interface
- Importing Data from Other Sources
- Modifying Data Entries
- Copying and Pasting Data
- Inserting New Cases / Variables
- Moving Data
- Computing a New Variable
- Recoding a Variable
- Selecting or Filtering Data
- Handling Multiple-Response Data
- Exercise: Data Management in SPSS
- Describing Data
- Exploring Your Data
- Describing Data Using the Frequencies and Descriptives Functions of SPSS
- Displaying Data with Charts
- Assessing Normality of Distribution of Continuous Data
- Cross-tabulations and Correlations
- Exercise: Describing Data
- Inferential Statistics
- Recap of Basic Concepts
- Choosing an Appropriate Test
- The One-Sample T-Test
- The Independent-Samples T-Test
- The Paired-Samples T-Test
- One-Way Analysis of Variance (ANOVA)
- Chi-Square and Risk
- Exercise: Inferential Statistics
- Correlation and Regression
- Correlation
- Introduction to Regression Analysis
- Linear Regression
- Exercise: Correlation and Linear Regression
- Final Quiz
- Assessment of Comprehension5 attempts allowed
- Practical Quiz5 attempts allowed
Instructors
Dr Fatai Akemokwe (MBBS, FWACP) is a clinical researcher who holds a Diploma in Statistics. He is also an instructor with Enigma Ventures, an organization focused on medical and information technology education. He has a passion for making learning easier and more efficient. He has been involved in data analysis of several research projects. He has eclectic interests ranging from alternative rock to philately.
Dr. Afelemo Orilade (MBBS) is a clinical researcher who has been involved in the study design and data analysis of a number of medical research projects. He strongly believes that every person should be given equal chance to succeed and the best gift that a person can be given is education and knowledge
Dr Nyemike Awunor (MBBS; PGDip.MATHE; MPH; FMCPH) is a teacher, researcher and community physician who is committed to simplifying foundational concepts in biostatistics, epidemiology and public health.
Community
This course has a private forum for learners who are taking this course.
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