Home Page Icon
Home Page
Table of Contents for
Title Page
Close
Title Page
by Mithat Gonen
Analyzing Receiver Operating Characteristic Curves with SAS
Cover Page
Title Page
Copyright Page
Contents
Preface
Acknowledgments
Chapter 1 - Introduction
1.1 - About Receiver Operating Characteristic Curves
1.2 - Summary of Chapters
Chapter 2 - Single Binary Predictor
2.1 - Introduction
2.2 - Frost Forecast Example
2.3 - Misclassification Rate
2.4 - Sensitivity and Specificity
2.5 - Computations Using PROC FREQ
Chapter 3 - Single Continuous Predictor
3.1 - Dichotomizing a Continuous Predictor
3.2 - The ROC Curve
3.3 - Empirical ROC Curve and the Conditional Distributions of the Marker
3.4 - Area under the ROC Curve
3.5 - Selecting an Optimal Threshold
3.6 - The Binormal ROC Curve
3.7 - Transformations to Binormality
3.8 - Direct Estimation of the Binormal ROC Curve
3.9 - Bootstrap Confidence Intervals for the Area Under the Curve
Chapter 4 - Comparison and Covariate Adjustment of ROC Curves
4.1 - Introduction
4.2 - An Example from Prostate Cancer Prognosis
4.3 - Paired Versus Unpaired Comparisons
4.4 - Comparing the Areas Under the Empirical ROC Curves
4.5 - Comparing the Binormal ROC Curves
4.6 - Discrepancy Between Binormal and Empirical ROC Curves
4.7 - Bootstrap Confidence Intervals for the Difference in the Area Under the Empirical ROC Curve
4.8 - Covariate Adjustment for ROC Curves
4.9 - Regression Model for the Binormal ROC Curve
Chapter 5 - Ordinal Predictors
5.1 - Introduction
5.2 - Credit Rating Example
5.3 - Empirical ROC Curve for Ordinal Predictors
5.4 - Area Under the Empirical ROC Curve
5.5 - Latent Variable Model
5.6 - Comparing ROC Curves for Ordinal Markers
Chapter 6 - Lehmann Family of ROC Curves
6.1 - Introduction
6.2 - Lehmann Family of Distributions
6.3 - Magnetic Resonance Example
6.4 - Adjusting for Covariates
6.5 - Using Estimating Equations to Handle Clustered Data
6.6 - Comparing Markers Using the Lehmann Family of ROC Curves
6.7 - Advantages and Disadvantages of the Lehmann Family of ROC Curves
Chapter 7 - ROC Curves with Censored Data
7.1 - Introduction
7.2 - Lung Cancer Example
7.3 - ROC Curves with Censored Data
7.4 - Concordance Probability with Censored Data
7.5 - Concordance Probability and the Cox Model
Chapter 8 - Using the ROC Curve to Evaluate Multivariable Prediction Models
8.1 - Introduction
8.2 - Liver Surgery Example
8.3 - Resubstitution Estimate of the ROC Curve
8.4 - Split-Sample Estimates of the ROC Curve
8.5 - Cross-Validation Estimates of the ROC Curve
8.6 - Bootstrap-Validated Estimates of the ROC Curve
Chapter 9 - ROC Curves in SAS Enterprise Miner
9.1 - Introduction
9.2 - Home Equity Loan Example
9.3 - ROC Curves from SAS Enterprise Miner for a Single Model
9.4 - ROC Curves from SAS Enterprise Miner for Competing Models
9.5 - ROC Curves Using PROC GPLOT with Exported Data from SAS Enterprise Miner
Appendix An Introduction to PROC NLMIXED
A.1 - Fitting a Simple Linear Model: PROC GLM vs PROC NLMIXED
A.2 - PROC NLMIXED and the Binormal Model
References
Index
Accelerate Your SAS Knowledge with SAS Books
Search in book...
Toggle Font Controls
Playlists
Add To
Create new playlist
Name your new playlist
Playlist description (optional)
Cancel
Create playlist
Sign In
Email address
Password
Forgot Password?
Create account
Login
or
Continue with Facebook
Continue with Google
Sign Up
Full Name
Email address
Confirm Email Address
Password
Login
Create account
or
Continue with Facebook
Continue with Google
Prev
Previous Chapter
Cover Page
Next
Next Chapter
Copyright Page
Add Highlight
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click
here
login for view all page.
Day Mode
Cloud Mode
Night Mode
Reset