sas proc logistic roc curve | PROC LOGISTIC: ROC Curve, Customized Odd

Keyword	CPC	PCC	Volume	Score	Length of keyword
sas proc logistic roc curve	0.64	0.6	6006	42	27
sas	0.03	0.4	3000	13	3
proc	1.37	0.5	2465	53	4
logistic	1.15	1	4112	57	8
roc	0.07	1	9749	35	3
curve	1.81	0.7	2994	92	5

Keyword	CPC	PCC	Volume	Score
sas proc logistic roc curve	1.44	0.5	1763	77
proc logistic roc curve	1.85	0.3	6099	36
roc curve in sas	0.09	0.3	185	24
roc curve sas code	1.36	0.5	1706	12
sas logistic regression roc	0.09	0.8	3950	92
sas proc logistic pdf	1.24	0.3	4056	57
proc logistic example in sas	1.33	0.6	9383	29
sas proc logistic output	1.33	0.2	4442	78
proc logistic example code in sas	0.89	0.3	5761	82
proc logistic sas syntax	0.42	0.1	6637	64
proc logistic sas code	1.11	0.2	5794	41
sas proc logistic odds ratio	0.47	0.4	3269	87
proc logistic sas lsmeans	1.14	0.7	2304	89
roc curve in logistic regression	1.08	0.5	5745	40
sas auc proc logistic	1.81	0.1	3749	90
sas proc logistic class statement	1.8	0.6	344	56
sas help center proc logistic	0.39	0.4	9336	42

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PROC LOGISTIC: ROC Curve, Customized Odds Ratios ... - SAS …
sas.com

https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/statug_logistic_sect058.htm

WEBThis example plots an ROC curve, estimates a customized odds ratio, produces the traditional goodness-of-fit analysis, displays the generalized measures for the fitted model, calculates the normal confidence intervals for the regression parameters, and produces a display of the probability function and prediction curves for the fitted model.

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Create and compare ROC curves for any predictive model
sas.com

https://blogs.sas.com/content/iml/2018/11/14/compare-roc-curves-sas.html

WEBNov 14, 2018 · You can see the documentation for details about how to interpret the output from PROC LOGISTIC, but the example shows that you can use the PLOTS=ROC option (or the ROC statement) to create an ROC curve for a model that is fit by PROC LOGISTIC. For this model, the area under the ROC curve is 0.77.

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How to Create a ROC Curve in SAS - Statology
statology.org

https://www.statology.org/roc-curve-sas/

WEBMar 7, 2022 · One way to visualize these two metrics is by creating a ROC curve, which stands for “receiver operating characteristic” curve. This is a plot that displays the sensitivity and specificity of a logistic regression model. The following step-by-step example shows how to create and interpret a ROC curve in SAS.

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Proc LOGISTIC ROCs! Let’s see how… - SAS
sas.com

https://www.sas.com/content/dam/SAS/en_ca/User%20Group%20Presentations/Vancouver-User-Group/ColleenMcGrahan-LogisticProc-2010.pdf

WEBThe ROC curve can then be requested in the proc LOGISTIC statement using the PLOTS option. ods graphics on; proc logistic DATA=dset PLOTS(ONLY)=(ROC(ID=prob) EFFECT); CLASS quadrant / PARAM=glm; MODEL partplan = quadrant cavtobr; run; The ONLY option suppresses the default plots and only the requested plots are displayed.

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25018 - Plot ROC curve with cutpoint labeling and optimal ... - SAS …
sas.com

https://support.sas.com/kb/25/018.html

WEBPURPOSE: Produce a plot of the Receiver Operating Characteristic (ROC) curve associated with a fitted binary-response model. Label points on the ROC curve using statistic or input variable values. Identify optimal cutpoints on the ROC curve using several optimality criteria such as correct classification, efficiency, cost, and others.

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PROC LOGISTIC: ROC Statement :: SAS/STAT(R) 9.22 User's Guide - SAS …
sas.com

https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/statug_logistic_sect019.htm

WEBYou can specify a ROCCONTRAST statement and a ROCOPTIONS option in the PROC LOGISTIC statement to control how the models are compared, while the PLOTS=ROC option controls the ODS Graphics displays. See Example 51.8 for an example that uses the ROC statement.

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65611 - Modify the ROC plot produced by PROC LOGISTIC - SAS …
sas.com

https://support.sas.com/kb/65/611.html

WEBA plot of the ROC curve for the fitted model can be produced by either the PLOTS=ROC option in the PROC LOGISTIC statement, or the ROC statement, or by the OUTROC= option in the MODEL statement. Limited aspects of the ROC plot can be specified by options in the ROCOPTIONS= option in the PROC LOGISTIC statement.

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PROC LOGISTIC: Receiver Operating Characteristic Curves :: SAS…
sas.com

https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/statug_logistic_sect040.htm

WEBROC curves are used to evaluate and compare the performance of diagnostic tests; they can also be used to evaluate model fit. An ROC curve is just a plot of the proportion of true positives (events predicted to be events) versus the proportion of false positives (nonevents predicted to be events).

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PROC LOGISTIC: Comparing Receiver Operating Characteristic Curves
sas.com

https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/statug_logistic_sect066.htm

WEBThe ROC curves for the three models are displayed in Outputs 51.8.3, 51.8.5, and 51.8.7. Note that the labels on the ROC curve are produced by specifying the ID=PROB option, and are the predicted probabilities for the cutpoints.

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Illustrative Logistic Regression Examples using PROC …
lexjansen.com

https://www.lexjansen.com/pharmasug/2009/sp/SP03.pdf

WEBreview basic model fitting strategies using PROC LOGISTIC and illustrate the utilization of receiver operating characteristic (ROC) curves. The new ODS graphics capabilities of SAS® 9.2 can provide production quality graphics of the estimated fitted probabilities and ROC curves. EXAMPLE DATA SETS

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