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来源：www.coursera.org
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8个序列
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等级：入门
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统计与概率
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语言：英语
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128分
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关键信息
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免费证书
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16小时总数
关于内容
This course provides theoretical and practical training on the increasingly popular logistic regression model, which has become the standard analytical method for use with a binary response variable.
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课程大纲
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
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教师
- Stanley Lemeshow - College of Public Health
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内容设计师
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.
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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。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
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