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Simple Regression Analysis in Public Health (으)로 돌아가기

Simple Regression Analysis in Public Health , 존스홉킨스대학교

4.7
20개의 평가
1개의 리뷰

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....
필터링 기준:

1개의 리뷰

대학: 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.