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Coursera Simple Regression Analysis in Public Health

Johns Hopkins University via Coursera

  • Overview
  1. Coursera
    Platform:
    Coursera
    Provider:
    Johns Hopkins University
    Length:
    4 weeks
    Effort:
    3-4 hours a week
    Language:
    English
    Credentials:
    Paid Certificate Available
    Part of:
    Biostatistics in Public Health Specialization
    Overview
    Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.

    WHAT YOU WILL LEARN
    • Practice simple regression methods to determine relationships between an outcome and a predictor
    • Recognize confounding in statistical analysis
    • Perform estimate adjustments
    Syllabus
    1. Simple Regression Methods
    2. Simple Logistic Regression
    3. Simple Cox Proportional Hazards Regression
    4. Confounding, Adjustment, and Effect Modification
    5. Course Project

    Taught by
    John McGready, PhD, MS

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