Johns Hopkins University
Biostatistics in Public Health Specialization
Johns Hopkins University

Biostatistics in Public Health Specialization

Build Statistical Skills for Biological Sciences. Master the tools and methods you need to analyze, interpret, and communicate biostatistical data.

Taught in English

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Specialization - 4 course series

Get in-depth knowledge of a subject

4.8

(2,073 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Calculate summary statistics from public health and biomedical data

  • Interpret written and visual presentations of statistical data

  • Evaluate and interpret results of various regression methods

  • Choose the most appropriate statistical method to answer your research question

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Specialization - 4 course series

Get in-depth knowledge of a subject

4.8

(2,073 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 4 course series

Summary Statistics in Public Health

Course 115 hours4.8 (1,863 ratings)

What you'll learn

  • Calculate continuous data measures

  • Interpret data visualizations

  • Analyze binary data

  • Analyze time to event data

Skills you'll gain

Category: Statistics
Category: Normal Distribution
Category: summary measures
Category: binary data

Hypothesis Testing in Public Health

Course 219 hours4.8 (606 ratings)

What you'll learn

  • Use statistical methods to analyze sampling distribution

  • Estimate and interpret 95% confidence intervals for single samples

  • Estimate and interpret 95% confidence intervals for two populations

  • Estimate and interpret p values for hypothesis testing

Skills you'll gain

Category: Confidence Interval
Category: p values
Category: Statistical Hypothesis Testing
Category: sampling

Simple Regression Analysis in Public Health

Course 313 hours4.7 (365 ratings)

What you'll learn

  • Practice simple regression methods to determine relationships between an outcome and a predictor

  • Recognize confounding in statistical analysis

  • Perform estimate adjustments

Skills you'll gain

Category: P-Value
Category: regression
Category: Proportional Hazards Model
Category: Confounding

Multiple Regression Analysis in Public Health

Course 414 hours4.7 (289 ratings)

What you'll learn

  • Practice multiple regression methods to determine relationships between an outcome and multiple predictors

  • Use the Spline approach for non-linear relationships with continuous predictors

  • Perform calculations with multiple predictor variables

Skills you'll gain

Category: effect modifcation
Category: Proportional Hazards Model
Category: Regression Analysis
Category: Spline approach

Instructor

John McGready, PhD, MS
Johns Hopkins University
6 Courses87,493 learners

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