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Topic: ROC analysis

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	ROC curve analysis
		ROC plots were first used to define detection cut-off points for radar equipment with different operators.
		The ROC plot is then drawn with the optimised cut-off point marked.
		After a similar analysis of a larger study > 160 was subsequently chosen as the SDI level for selecting patients for a type of infertility treatment.
	www.statsdirect.com /help/nonparametric_methods/roc_plot.htm (571 words)

	Korean Journal of Radiology (Site not responding. Last check: 2007-10-09)
		Important concepts involved in the correct use and interpretation of this analysis, such as smooth and empirical ROC curves, parametric and nonparametric methods, the area under the ROC curve and its 95% confidence interval, the sensitivity at a particular FPR, and the use of a partial area under the ROC curve are discussed.
		The nonparametric estimate of the area under the empirical ROC curve is the summation of the areas of the trapezoids formed by connecting the points on the ROC curve.
		It estimates the smooth ROC curve and its AUC, 95% CI of AUC, and the parameters a and b on the basis of a binormal distribution.
	www.kjronline.org /abstract/view_articletext.asp?year=2004&page=11 (3881 words)

	RECEIVER OPERATING CHARACTERISTIC (ROC) LITERATURE RESEARCH (Site not responding. Last check: 2007-10-09)
		ROC curves and measures of discrimination accuracy: A reply to Swets.
		CT, myelography, and phlebography in the detection of lumbar disk herniation: An analysis of the literature.
		Analysis of uncertainties in estimates of components of variance in multivariate ROC analysis.
	splweb.bwh.harvard.edu:8000 /pages/ppl/zou/roc.html (4427 words)

	Stats: ROC curve
		An ROC curve is a graphical representation of the trade off between the false negative and false positive rates for every possible cut off.
		Equivalently, the ROC curve is the representation of the tradeoffs between sensitivity (Sn) and specificity (Sp).
		We are less happy when the ROC curve follows a diagonal path from the lower left hand corner to the upper right hand corner.
	www.childrensmercy.com /stats/ask/roc.asp (1623 words)

	EMBASSY: SIGNATURE: rocplot (Site not responding. Last check: 2007-10-09)
		In 'single input file mode', ROC analysis is performed on the individual hits file; a ROC plot containing a single ROC curve, and a single ROC value and classification plot are generated.
		Classification plots, which are a valuable aid in interpreting the ROC plot and value, are also generated and, depending upon the mode rocplot is run in, a plot of the distribution of ROC values.
		ROC analysis is a powerful aid to interpretation and has been widely used, for instance to evaluate clinical diagnostic tests and in the bioinformatics literature.
	emboss.sourceforge.net /apps/cvs/rocplot.html (6553 words)

	Receiver operating characteristic - Wikipedia, the free encyclopedia
		ROC curves are used to evaluate the results of a prediction and were first employed in the study of discriminator systems for the detection of radio signals in the presence of noise in the 1940s, following the attack on Pearl Harbor.
		In engineering, the area between the ROC curve and the no-discrimination line is often preferred, because of its useful mathematical properties as a non-parametric statistic.
		ROC Analysis is related in a direct and natural way to cost/benefit analysis of diagnostic decision making.
	en.wikipedia.org /wiki/Receiver_operating_characteristic (853 words)

	Department of Quantitative Health Sciences
		ROC methodology is appropriate in situations where there are 2 possible "truth states" (i.e., diseased/normal, event/non-event, or some other binary outcome), "truth" is known for each case, and "truth" is determined independently of the diagnostic tests / predictor variables / etc. under study.
		ROC plots that cross may have similar total areas but differ in their diagnostic efficacy in specific diagnostic situations.
		Verification bias is a phenomenon that occurs when inclusion in an ROC study depends on the availability of a gold standard which is only obtained on a particular nonrandom subset of patients in the study population (i.e., only women with "suspicious" mammograms get biopsied, and biopsy is the gold standard).
	www.bio.ri.ccf.org /html/rocanalysis.html (2494 words)

	Software_index
		Differences in the binormal ROC curve parameters a and b (related to the difference in the mean and of the standard deviations of the two latest normal distributions used in the fit)
		LABROC4 uses maximum likelihood estimation to fit a single conventional binormal ROC curve to continuously-distributed data (e.g., probability assessment on a 0-100 scale or numerical output from a laboratory measurement such as blood count).
		This is a Microsoft Excel 5.0 macro sheet which takes the a and b parameter values of the conventional binormal model and plots an ROC curve suitable for presentation and publication.
	xray.bsd.uchicago.edu /krl/KRL_ROC/software_index.htm (955 words)

	The Area Under an ROC Curve (Site not responding. Last check: 2007-10-09)
		Accuracy is measured by the area under the ROC curve.
		ROC curves can also be constructed from clinical prediction rules.
		ROC analysis is part of a field called "Signal Dectection Therory" developed during World War II for the analysis of radar images.
	gim.unmc.edu /dxtests/roc3.htm (557 words)

	Rate of Change (ROC) - Technical Analysis
		ROC is a momentum indicator that measures velocity and also leads the price action.
		ROC should always be used in conjunction with reversal signals on the price chart.
		As mentioned previously, a 10 or 12-day ROC is a good short term indicator, oscillating in a fairly regular cycle.
	www.chartfilter.com /reports/c38.htm (717 words)

	ICML'04 tutorial on ROC analysis
		Receiver Operating Characteristics (ROC) Analysis originated from signal detection theory, as a model of how well a receiver is able to detect a signal in the presence of noise.
		ROC analysis has also widely been used in medical data analysis to study the effect of varying the threshold on the numerical outcome of a diagnostic test.
		ROC analysis is set to cause a paradigm shift in machine learning.
	www.cs.bris.ac.uk /~flach/ICML04tutorial/index.html (891 words)

	ROC (Site not responding. Last check: 2007-10-09)
		Receiver operating characteristic (ROC) analysis is the standard approach to evaluate the sensitivity and specificity of diagnostic procedures.
		ROC analysis estimates a curve, which describes the inherent tradeoff between sensitivity and specificity of a diagnostic test.
		The area under the ROC curve (A-z) has become a particularly important metric for evaluating diagnostic procedures because it is the average sensitivity over all possible specificities.
	brighamrad.harvard.edu /research/topics/vispercep/ROC.html (371 words)

	ICML2005 Workshop on ROC Analysis in ML
		In this context, ROC analysis provides tools to select possibly optimal models and to discard suboptimal ones independently from (and prior to specifying) the cost context or the class distribution.
		Furthermore, the Area Under the ROC Curve (AUC) has been shown to be a better evaluation measure than accuracy in contexts with variable misclassification costs and/or imbalanced datasets.
		The main goal of this first workshop was to foster the cross-fertilisation of ideas and applications of ROC analysis with related areas in artificial intelligence and to gather points of views from broad AI fields.
	www.dsic.upv.es /~flip/ROCML2005 (572 words)

	BioMed Central \| Full text \| Defining signal thresholds in DNA microarrays: exemplary application for invasive cancer
		ROC curves have been used for many years in numerous other areas, including psychology [14,15], and other areas of medical diagnostics [16].
		The area under the ROC curve may be used to assess the quality of individual microarray hybridizations which is particularly important because the quality of microarray hybridization can vary significantly [9,12].
		A ROC curve representing a parameter with no discrimination at all is a 45° diagonal line from the left lower corner (0% true positive rate and 0% false positive rate) to the upper right corner (100% true positive rate and 100% false positive rate) with an area under the curve of 0.5.
	www.biomedcentral.com /1471-2164/3/19 (5309 words)

	Receiver Operating Characteristic Curves
		ROC curves were developed in the 1950's as a by-product of research into making sense of radio signals contaminated by noise.
		This demonstrates an important property of ROC curves - the greater the overlap of the two curves, the smaller the area under the ROC curve.
		ROC curves should be particularly valuable if we can use them to compare the performance of two tests.
	www.anaesthetist.com /mnm/stats/roc (8776 words)

	ROC Convex Hull (Site not responding. Last check: 2007-10-09)
		ROC Graphs: Notes and Practical Considerations for Researchers, that serves both as a tutorial introduction to ROC graphs and as a practical guide for using them in research.
		The ROC convex hull method combines techniques from ROC analysis, decision analysis and computational geometry, and adapts them to the particulars of analyzing learned classifiers.
		This duality produces equivalent operations in the two spaces, allowing techniques used in ROC analysis to be readily reproduced in the cost space.
	home.comcast.net /~tom.fawcett/public_html/ROCCH/index.html (1827 words)

	A ROC ANALYSIS: BEHIND H.B. 2982: A PACK OF JACKYLS! (Site not responding. Last check: 2007-10-09)
		R.O.C. was predicting bills like H.B. 2982 five years ago when your organization fell on your knees before the PMRC.
		So, Paul, at the end of the day the final analysis is that you're as guilty of fostering the kind of censorship attempts that we're today witnessing in Pennsylvania, as is Tipper Gore, her pet monkey protege T.J. Rooney or (for that matter) any of their counterparts in the cracked Theocratic Right.
		R.O.C. kicked off its campaign against H.B. 2982 on July 31 at Star Lake Amphitheater in Burgettstown, PA. That night's show was King's X, Type O Negative, and Motley Crue.
	www.theroc.org /roc-mag/textarch/roc-17/roc17-12.htm (1164 words)

	Stata help for roccomp
		Plot 1, Plot 2, Plot 3 plot#opts(plot_options) affect rendition of the #th ROC curve; plot 1 is the gold standard
		The plot_options can affect the size and color of markers, whether and how the markers are labeled, and whether and how the points are connected; see marker_options, marker_label_options, and cline_options.
		For rocgold, plot1opts() are applied to the ROC for the gold standard.
	www.stata.com /help.cgi?roccomp (1156 words)

	ECAI’2004 Workshop on “ROC Analysis in AI”
		ROC Analysis in AI Valencia, Spain, 22 August, 2004
		Among the limitations of ROC analysis, an important one, despite some recent progress, is its possible but difficult extension for more than two classes.
		Use of ROC analysis and measures as fitness and selection criteria in evolutionary techniques.
	www.dsic.upv.es /~flip/ROCAI2004 (641 words)

	ACOMED - statistics, ROC curve / ROC curves / DAC method
		The ROC curve (receiver operating characteristics) is one of the main approaches.
		However, because of some disadvantages of the ROC analysis we have developed a new method called discordance analysis characteristics (DAC method) which is submitted for publishing.
		A german version of a page is available which provides links to some statistical software packages calculating ROC curves.
	www.acomed-statistik.de /roc-curve.html (120 words)

	Download ROC Analysis 1.00 - ROC Analysis graphs the Receiver Operating Characteristic (ROC) curve and calculates the ...
		ROC Analysis is a standalone Windows program that graphs the Receiver Operating Characteristic (ROC) curve and calculates the Area Under the Curve (AUC) using a nonparametric method.
		Receiver Operating Characteristic (ROC) methods produce quantitative and visual representations of the diagnostic utility of a test across its entire range of cut scores.
		ROC Analysis is a REALbasic program that calculates and graphs the nonparametric ROC.
	www.softpedia.com /get/Others/Home-Education/ROC-Analysis.shtml (371 words)

	ROC curve analysis of lesion detectability on phantoms: comparison of digital spot mammography with conventional spot ...
		ROC curve analysis of lesion detectability on phantoms: comparison of digital spot mammography with conventional spot mammography -- Yip et al.
		ROC curve analysis of lesion detectability on phantoms: comparison of digital spot mammography with conventional spot mammography
		Digital mammography ROC studies of the effects of pixel size and unsharp-mask filtering on the detection of subtle microcalcifications.
	bjr.birjournals.org /cgi/content/full/74/883/621 (2835 words)

	Visitor Feedback ROC Retreat Lake Tahoe
		ROC is totally the right answer and it's what the industry needs at this point in time
		ROC is not a patch for bad systems; RAINS seems to be too far down the spectrum of unreliability
		ROC is a patch for bad systems and that's good, because we won't be able to stay ahead of the bug curve
	roc.cs.berkeley.edu /retreats/summer_02/slides/visitor_feedback.html (989 words)

	[No title]
		Data analysis Hierarchical cluster analysis - exploratory Cluster method (Ward’s method, between groups linkage, within groups linkage) Similarity coefficient (squared euclidean distance) Results: agglomeration schedule (look for significant jump in variance, as in factor analysis scree plot) to determine # clusters.
		ROC graph, with AUC values for different predictors SPSS does not compare AUC values.
		Software for advanced ROC ROCKIT: conducts ROC analysis, and statistically compares ROC curves PlotROC.xls: takes ROC parameters (e.g., from SPSS) and plots a nice ROC graph Available from: HYPERLINK "http://www-radiology.uchicago.edu/krl/roc_soft.htm" http://www-radiology.uchicago.edu/krl/roc_soft.htm References Hanley, J. A., & McNeil, B. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
	www.usd.edu /ed/research/BrownBag/ClusteranalysisROCanalysis.doc (457 words)

	Epidemiological Analysis
		ROC analysis), cross-tabulation of data from various types of epidemiological studies, Reed-Frost simulation models.
		In many respects it is similar to the analysis facilities included in the Epi Info suite, except that NetEpi Analysis is designed to be installed on servers and accessed remotely via Web browsers, although it can also be installed on individual desktop or laptop computers
		Epidemiological analysis software for data already tabulated or counted; performs a wide range of standard calculations, but also some unusual procedures such as median polish, poisson probability, direct/indirect standardization, adjusted p-values for multiple comparisons or power analyses (free for private use).
	www.vetschools.co.uk /EpiVetNet/Epidemiological_analysis_software.htm (234 words)

	How to layout your data & plot ROC curves using Analyse-it
		The Analyse-it Clinical Laboratory module includes ROC curve analysis, useful in clinical medicine for evaluating the performance of a diagnostic method.
		You can plot upto 3 diagnostic tests on the same ROC chart to compare their effectiveness and specificity / sensitivity.
		Analyse-it presents the results of the ROC analysis.
	www.analyse-it.com /support/ROChelp.htm (407 words)

	ROC 1
		The programming on this page provides a streamlined approach to ROC curve analysis that I think will be fairly accessible to the non-statistician.
		For the present example k=4, so the curve is fitted to the first three of the bivariate pairs, as shown below in Graph A. Graph B shows the same pairs fitted by a conventional binormal ROC curve.
		When all values have been entered, click the «Calculate» button, and the results of the analysis will appear in the scrolling text box that follows the data- entry table.
	faculty.vassar.edu /lowry/roc1.html (505 words)

	Evaluation of 99mTc.Sestamibi versus 99mTc.Oxidronate Scintimammography by ROC Analysis (Site not responding. Last check: 2007-10-09)
		This study uses ROC analysis to compare scintimammography results with 99mTc.Sestamibi and 99mTc.Oxidronate as reported by 4 experienced nuclear medicine observers blind to the results of conventional triple assessment (TA) and the consensus score of 2 observers aware of TA results.
		The Oxidronate ROC curve for the consensus score was significantly better than that for all 4 observers, whilst the Sestamibi ROC curves approach a significant difference.
		The pooled ROC curves created from the combined observer data demonstrated no significant difference as compared to consensus score ROCs for Sestamibi.
	www.rmpd.org.uk /abstracts/nuclear_medicine/evaluation_by_roc_analysis.htm (435 words)

	Prevalence-Value-Accuracy Plots: A New Method for Comparing Diagnostic Tests Based on Misclassification Costs -- ...
		states of health and is typically assessed by ROC analysis (2)(3).
		ROC plot analysis is one of the most common and useful ways
		ROC curve analysis: an example showing the relationships among serum lipid and apolipoprotein concentrations in identifying patients with coronary artery disease.
	www.clinchem.org /cgi/content/full/45/7/934 (3650 words)

	Power Analysis for ROC Curves in PASS
		Receiver operating characteristic (ROC) curves are used to summarize the accuracy of diagnostic tests.
		The technique is used when a criterion variable is available which is used to make a yes or no decision.
		The area under the ROC curve (AUC) is a popular summary index of an ROC curve.
	www.ncss.com /passroc.html (256 words)

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