Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.

Summary Statistics in Public Health

Summary Statistics in Public Health
This course is part of Biostatistics in Public Health Specialization

Instructor: John McGready, PhD, MS
Access provided by Barbados NTI
68,276 already enrolled
2,058 reviews
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What you'll learn
Calculate continuous data measures
Interpret data visualizations
Analyze binary data
Analyze time to event data
Skills you'll gain
- Risk Analysis
- Statistical Methods
- Medical Science and Research
- Sampling (Statistics)
- Public Health
- Box Plots
- Histogram
- Statistical Inference
- Statistics
- Sample Size Determination
- Probability Distribution
- Quantitative Research
- Data Literacy
- Statistical Visualization
- Descriptive Statistics
- Epidemiology
- Biostatistics
- Analysis
- Probability & Statistics
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Reviewed on Feb 14, 2024
A contemporary review of statistical theory and application principals to either add to or interpret scientific literature. A necessary everyday tool for research scientists.
Reviewed on Aug 19, 2019
The instructor is very well-spoken and the course material is explained very clearly. The additional example videos are also great if you need to further your understanding.
Reviewed on Jul 4, 2022
it was an amazing opportunity for me to learn from a great man in the Biostatistics field and importantly from such a great university. all videos were so understandable and comprehensive.
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