Applied Logistic Regression

课程
en
英语
16 时
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来源
  • 来自www.coursera.org
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  • 8 序列
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课程详情

教学大纲

Week One
  • Logistic Regression Analysis
  • Fitting the Logistic Model
Week Two
  • The Likelihood Ratio Test
  • Finding a Confidence Interval for β and π
  • The Multiple Logistic Regression Model
  • Fitting the Multiple Logistic Regression Model
Week Three
  • Confidence Intervals for β, the Logit, and π
  • Interpretation of Coefficients
  • Dichotomous Independent Variables
Week Four
  • Polychotomous Independent Variables
  • Continuous Independent Variables
Week Five
  • Statistical Adjustment
  • Interaction and Confounding
Week Six
  • Estimating Odd Ratios in the Presence of Interaction
  • The 2X2 Table - Stratified Analysis vs Logistic Regression
  • Assessing the Fit of the Logistic Regression Model
Week Seven
  • Summary Measures of Goodness-of-Fit
  • Area Under the ROC Curve
Week Eight
  • R-squared-type Measures
  • Numerical Problems
  • Estimating the Mortality of ICU Patients


先决条件

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讲师

  • Stanley Lemeshow - College of Public Health

编辑

The Ohio State University is one of the largest universities in the United States. It's also home to a diverse group of the best and brightest people in the world: dedicated faculty, passionate students, and innovative researchers who make Ohio State one of the world's truly great universities.

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

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