- Level Foundation
- المدة 14 ساعات hours
- الطبع بواسطة Johns Hopkins University
-
Offered by
عن
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.الوحدات
Simple Regression: An Overview, and Simple Linear Regression
8
Videos
- Introduction
- Simple Regression: An Overview
- Simple Linear Regression with a Binary (or Nominal Categorical) Predictor
- Simple Linear Regression with a Categorical Predictor
- Simple Linear Regression with a Continuous Predictor
- Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates
- Measuring the Strength of a Linear Association
- Additional Examples
Formative Assessment
1
Assignment
- Practice Quiz: Simple Linear Regression
1
Readings
- Solutions to Linear Regression Practice Quiz
Summative Assessment
1
Assignment
- Simple Linear Regression
1
Readings
- Quiz 1 Solution
Simple Logistic Regression
7
Videos
- Introduction
- Simple Logistic Regression: An Overview
- Simple Logistic Regression with a Binary (or Categorical) Predictor
- Simple Logistic Regression with a Continuous Predictor
- Simple Logistic Regression: Accounting for Uncertainty in the Estimates
- Estimating Risk and Functions of Risk from Logistic Regression Results
- Additional Examples
Formative Assessment
1
Assignment
- Practice Quiz: Simple Logistic Regression
1
Readings
- Solution Examples to Practice Quiz on Simple Logistic Regression
Summative Assessment
1
Assignment
- Logistic Regression
1
Readings
- Quiz 2 Solutions
Simple Cox Proportional Hazards Regression
7
Videos
- Introduction
- Simple Cox Regression: An Overview
- Simple Cox Regression with a Binary (or Categorical) Predictor
- Simple Cox Regression with a Continuous Predictor
- Simple Cox Regression: Accounting for Uncertainty in the Estimates
- Estimating Survival Curves from Cox Regression Results
- Additional Examples
Formative Assessment
1
Assignment
- Practice Quiz: Simple Cox Proportional Hazards Regression
1
Readings
- Solutions for Practice Quiz on Simple Cox Regression
Summative Assessment
1
Assignment
- Simple Cox Regression
1
Readings
- Solutions to Summative Quiz 3
Confounding and Adjustment
5
Videos
- Introduction
- Confounding: A Formal Definition and Some Examples
- Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding
- Adjusted Estimates: The General Idea Behind the Computations
- Additional Examples
Effect Modification
5
Videos
- Effect modification: Introduction with an analytic example
- Effect modification: Tree damage and elevation example
- Effect modification: Examples from the literature
- Confounding versus effect modification: A review
- Additional examples
Formative Assessment
1
Assignment
- Practice Quiz: Confounding and Effect Modification
Summative Assessment
1
Assignment
- Confounding and Effect Modification
1
Readings
- Solutions to Summative Quiz 4
Reading: Biostatistical Consulting Project
1
Readings
- Biostatistical Consulting Project
Quiz: Course Project Quiz (1 attempt per day allowed)
1
Assignment
- Course Project Quiz
Auto Summary
Dive into "Simple Regression Analysis in Public Health" on Coursera, a foundational course in the Health & Fitness domain. Taught by experts, this 14-hour course focuses on simple regression methods to analyze relationships between variables in public health. Topics include logistic regression, confidence intervals, and more. Available through Starter and Professional subscriptions, this course is perfect for those looking to enhance their biostatistics skills.

John McGready, PhD, MS