Multiple Regression Analysis in Public Health (으)로 돌아가기
존스홉킨스대학교의 Multiple Regression Analysis in Public Health 학습자 리뷰 및 피드백
4.6
17개의 평가
강좌 소개
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.
최상위 리뷰
필터링 기준:
Multiple Regression Analysis in Public Health 의 3개 리뷰 중 1~3
교육 기관: Shady M S
•May 25, 2019
the course spends a lot of time repeating the same concepts. i would be more convinced if they spend more time in explaining how to make the multiple regressions , how many variables i can add and what are the limitations and how to make a measure of fitness
교육 기관: Anurag M
•Jan 21, 2019
Would love to learn more from Dr. McGready in statistical courses more advanced than the ones offered in this specialization
교육 기관: Fred L
•Jul 15, 2019
Great instructor, really informative and engaging.
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