Multiple Regression Analysis in Public Health
- Offered byCoursera
Multiple Regression Analysis in Public Health at Coursera Overview
Duration | 14 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Multiple Regression Analysis in Public Health at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 4 in the Biostatistics in Public Health Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
- Approx. 14 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Multiple Regression Analysis in Public Health at Coursera Course details
- 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, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. 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 multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.
Multiple Regression Analysis in Public Health at Coursera Curriculum
An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression
Multiple Regression: An Overview
Multiple Linear Regression: Some Examples
Multiple Linear Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates
Estimate Group Means and Mean Differences for Groups Who Differ in More than One Predictor with Multiple Linear Regression
The ?Linearity? Assumption and Estimating Amount of Variability Explained by Multiple Predictors
Examples from the Literature
Investigating Effect Modification with Multiple Linear Regression (Forthcoming)
Investigating Effect Modification with Multiple Linear Regression?More Examples, For Those Interested
Additional Examples of Multiple Linear Regression
Solutions to Practice Quiz on Multiple Linear Regression
Solutions to Summative Quiz 1
Practice Quiz: An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression
An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression
Multiple Logistic Regression
Multiple Logistic Regression: Some Examples
Multiple Logistic Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting Estimates
Estimating Group Odds and Proportions, and Odds Ratios for Groups Who Differ in More than One Predictor with Multiple Linear Regression
The ?Linearity? Assumption and A Brief Note about Prediction with Multiple Logistic Regression
Examples from the Literature
Investigating Effect Modification with Multiple Logistic Regression, Part 1
Investigating Effect Modification with Multiple Logistic Regression, Part 2
Additional Examples
Solutions to Practice Quiz Items 1-9
Solutions to Quiz on Logistic Regression
Practice Quiz: Multiple Logistic Regression
Multiple Logistic Regression
Multiple Cox Regression
Some Examples
Basics of Model Estimation and Handling Uncertainty in the Resulting Estimates
Estimating Hazard Ratios for Groups who Differ in more than one Predictor with Multiple Cox Regression
The "Linearity" Assumption and Prediction with Multiple Cox Regression
Examples from the Literature
Soluitons To Multiple Cox Regression Practice Quiz
Solutions: Summative Quiz (Multiple Cox Regression)
Practice Quiz: Multiple Cox Regression
Multiple Cox Regression, and Course Concepts
Course Project
Biostatistical Consulting Project
Project
Multiple Regression Analysis in Public Health at Coursera Admission Process
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