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Medical Statistics  (full English class) Shaoqi Rao, PhD School of  Public Health  Sun Yat-Sen University Slides adapted from Dr. Ji-Qian Fang’s
Chapter 8 Linear Regression
How does the value of one variable depend on that of another one? ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],8.1 Statistical Description of Linear Regression
[object Object],[object Object],[object Object],[object Object],[object Object]
What is regression in statistics? To find out the track of the means 100 120 140 160 180 200 220 100 120 140 160 180 200 220 Father’s height ( cm ) Son’s height (cm)
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
8.1.2 Regression coefficient and its calculation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 8.1  Calculate the regression equation of the height of son  Y  on the height of father  X  .
 
[object Object],[object Object],[object Object],[object Object],[object Object],8.2 Statistical Inference on Regression   8.2.1  Hypothesis tests
Statistic Standard deviation of regression coefficient Standard deviation of residual
For Example 8.1 p  <0.001 .  Reject  ---- the regression of the son’s height on the father’s height is statistically significant. :     =0,  :     ≠0
8.2.1.2 Analysis of variance   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
For Example 8.1 ,[object Object],[object Object],[object Object],[object Object],[object Object]
8.2.2  Determination coefficient   For Example 8.1 Determination coefficient:  Contribution of regression by % ,[object Object],[object Object],[object Object]
In practice, it is suggested to report the value of determination coefficient after an analysis of regression to describe how good the regression is.  ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
8.3.3  On the basic assumptions    ----  LINE ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Summary  Regression and Correlation   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
 

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Ch8regressionrevbyrao 091127020047 Phpapp02

  • 1.  
  • 2. Medical Statistics (full English class) Shaoqi Rao, PhD School of Public Health Sun Yat-Sen University Slides adapted from Dr. Ji-Qian Fang’s
  • 3. Chapter 8 Linear Regression
  • 4.
  • 5.
  • 6.
  • 7. What is regression in statistics? To find out the track of the means 100 120 140 160 180 200 220 100 120 140 160 180 200 220 Father’s height ( cm ) Son’s height (cm)
  • 8.
  • 9.
  • 10.
  • 11. Example 8.1 Calculate the regression equation of the height of son Y on the height of father X .
  • 12.  
  • 13.
  • 14. Statistic Standard deviation of regression coefficient Standard deviation of residual
  • 15. For Example 8.1 p <0.001 . Reject ---- the regression of the son’s height on the father’s height is statistically significant. :  =0, :  ≠0
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.