Назад в каталог
Курс от Johns Hopkins University
courseraЗдоровье
Multiple Regression Analysis in Public Health
Курс от Johns Hopkins UniversityО курсе
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.
Навыки, которые вы освоите
Программа курса
4 модулей · 36 учебных материалов
01An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression13 материалов
Multiple Regression
Multiple Regression: An OverviewВидеоMultiple Linear Regression: Some ExamplesВидеоMultiple Linear Regression: Basics of Model Estimation, and Handling Uncertainty in the Resulting EstimatesВидеоEstimate Group Means and Mean Differences for Groups Who Differ in More than One Predictor with Multiple Linear RegressionВидеоУчитесь у экспертов
John McGready, PhD, MS
Associate Scientist, Biostatistics