Summary Statistics in Public Health

This course is part of Biostatistics in Public Health Specialization

Instructor: John McGready, PhD, MS

What you'll learn

  •   Calculate continuous data measures
  •   Interpret data visualizations
  •   Analyze binary data
  •   Analyze time to event data
  • Skills you'll gain

  •   Statistical Methods
  •   Descriptive Statistics
  •   Statistical Visualization
  •   Sample Size Determination
  •   Medical Science and Research
  •   Biostatistics
  •   Statistical Analysis
  •   Probability Distribution
  •   Epidemiology
  •   Clinical Trials
  •   Quantitative Research
  •   Data Literacy
  •   Public Health
  • There are 6 modules in this course

    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.

    Continuous Data Measures

    The Normal Distribution

    Binary Data

    Dealing with the Element of Time

    Course Project

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