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Simple Regression Analysis in Public Health , Johns Hopkins University
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課程信息
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.
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創建者 Anurag Mehta
•Jan 13, 2019
The Question and Answer section needs a few corrections, some incorrect answers are marked as correct. Simple linear regression analysis with continuous predictor is missing and the one for logistic regression in used its place.
