Simple Regression Analysis in Public Health
About this Course
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.Created by: Johns Hopkins University
Related Online Courses
Explore the C and C++ languages. Look at the specificity of the C/C++ languages and how this impacts security, ways C/C++ can interact with the external world, error handling, the execution... more
This Specialization is intended for learners with basic knowledge in Android app development seeking to develop knowledge in computer graphics and virtual reality in Android. Through the 4 courses,... more
Build your statistics and probability expertise with this short course from the University of Leeds. The first week introduces you to statistics as the art and science of learning from data.... more
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately... more
In this course, we will study security and trust from the hardware perspective. Upon completing the course, students will understand the vulnerabilities in current digital system design flow and... more
Powered by
