link Source: www.coursera.org
list 8 sequences
assignment Level : Introductory
chat_bubble_outline Language : English
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Key Information

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timer 16 hours in total

About the content

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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Syllabus

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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Instructors

  • Stanley Lemeshow - College of Public Health
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Content Designer

The Ohio State University
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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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