Basic Analysis and Graphing - SAS

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226 Performing Simple Logistic Regression Chapter 7 Additional Examples of Logistic Regression The ROC curve is a graphical representation of the relationship between false-positive and true-positive rates. A standard way to evaluate the relationship is with the area under the curve, shown below the plot in the report. In the plot, a yellow line is drawn at a 45 degree angle tangent to the ROC Curve. This marks a good cutoff point under the assumption that false negatives and false positives have similar costs. Related Information • “Example of ROC Curves” on page 230 Save Probability Formula The Save Probability Formula option creates new data table columns. These data table columns save the following: • formulas for linear combinations (typically called logits) of the x factor • prediction formulas for the response level probabilities • a prediction formula that gives the most likely response Inverse Prediction Inverse prediction is the opposite of prediction. It is the prediction of x values from given y values. But in logistic regression, instead of a y value, you have the probability attributed to one of the Y levels. This feature only works when there are two response categories (a binary response). The Fit Model platform also has an option that gives an inverse prediction with confidence limits. The Modeling and Multivariate Methods book gives more information about inverse prediction. Related Information • “Example of Inverse Prediction Using the Crosshair Tool” on page 231 • “Example of Inverse Prediction Using the Inverse Prediction Option” on page 232 Additional Examples of Logistic Regression This section contains additional examples using logistic regression. Example of Ordinal Logistic Regression This example uses the AdverseR.jmp sample data table to illustrate an ordinal logistic regression. Suppose you want to model the severity of an adverse event as a function of treatment duration value. 1. Open the AdverseR.jmp sample data table. 2. Right-click on the icon to the left of ADR SEVERITY and change the modeling type to ordinal. 3. Select Analyze > Fit Y by X.
Chapter 7 Performing Simple Logistic Regression 227 Additional Examples of Logistic Regression 4. Select ADR SEVERITY and click Y, Response. 5. Select ADR DURATION and click X, Factor. 6. Click OK. Figure 7.5 Example of Ordinal Logistic Report You interpret this report the same way as the nominal report. See “The Logistic Report” on page 219. In the plot, markers for the data are drawn at their x-coordinate. When several data points appear at the same y position, the points are jittered. That is, small spaces appear between the data points so you can see each point more clearly.
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Version 10 Basic Analysis and Graph
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USE, DATA OR PROFITS, WHETHER IN AN
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6 Options for Categorical Variables
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8 Nonparametric Bivariate Density R
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10 Example of the Power Option . .
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12 Statistical Details for the Logi
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14 Use Categorical Variables . . .
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16 Control Animation for Dynamic Bu
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18 Launch the Scatterplot Matrix Pl
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Contents Book Conventions. . . . .
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22 Learn about JMP Chapter 1 Book C
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Additi
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28 Learn about JMP Chapter 1 Additi
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Contents Overview of the Distributi
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32 Performing Univariate Analysis C
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Contents Overview of the Fit Y by X
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90 Introduction to the Fit Y by X P
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Contents Example of Bivariate Analy
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94 Performing Bivariate Analysis Ch
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100 Performing Bivariate Analysis C
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130 Performing Oneway Analysis Chap
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276 Interactive Data Visualization
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Contents Example of the Chart Platf
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314 Creating Summary Charts Chapter
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Contents Example of an Overlay Plot
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340 Creating Overlay Plots Chapter
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Contents Example of a 3D Scatterplo
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354 Creating Three-Dimensional Scat
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374 Creating Contour Plots Chapter
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Contents Example of a Dynamic Bubbl
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384 Creating Bubble Plots Chapter 1
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Contents Overview of Mapping . . .
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406 Creating Maps Chapter 16 Exampl
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418 Creating Maps Chapter 16 Backgr
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450 Creating Parallel Plots Chapter
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460 Creating Cell Plots Chapter 18
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Contents Example of Tree Maps . . .
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468 Creating Tree Maps Chapter 19 E
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470 Creating Tree Maps Chapter 19 E
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472 Creating Tree Maps Chapter 19 T
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474 Creating Tree Maps Chapter 19 A
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486 Creating Scatterplot Matrices C
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Contents Example of a Ternary Plot
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496 Creating Ternary Plots Chapter
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504 References Becker, R.A. and Cle
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506 References Dunnett, C.W. (1955)
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508 References Hosmer, D.W. and Lem
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510 References McLachlan, G.J. and
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512 References Robertson, T., Wrigh
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514 References Wadsworth, H. M., St
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516 Index examples 459, 463-464 lau
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518 Index Horizontal option 268, 32
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520 Index Proportion of Densities o
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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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