title: Software for illustrative presentation of basic clinical characteristics of laboratory tests--GraphROC for Windows.
abstract: GraphROC for Windows is a program for clinical test evaluation. It was designed for the handling of large datasets obtained from clinical laboratory databases. In the user interface, graphical and numerical presentations are combined. For simplicity, numerical data is not shown unless requested. Relevant numbers can be "picked up" from the graph by simple mouse operations. Reference distributions can be displayed by using automatically optimized bin widths. Any percentile of the distribution with corresponding confidence limits can be chosen for display. In sensitivity-specificity analysis, both illness- and health-related distributions are shown in the same graph. The following data for any cutoff limit can be shown in a separate click window: clinical sensitivity and specificity with corresponding confidence limits, positive and negative likelihood ratios, positive and negative predictive values and efficiency. Predictive values and clinical efficiency of the cutoff limit can be updated for any prior probability of disease. Receiver Operating Characteristics (ROC) curves can be generated and combined into the same graph for comparison of several different tests. The area under the curve with corresponding confidence interval is calculated for each ROC curve. Numerical results of analyses and graphs can be printed or exported to other Microsoft Windows programs. GraphROC for Windows also employs a new method, developed by us, for the indirect estimation of health-related limits and change limits from mixed distributions of clinical laboratory data.
authors.affiliation: Department of Clinical Chemistry, University of Turku, Finland.
authors.forename: V
authors.initials: V
authors.lastname: Kairisto
authors.forename: A
authors.initials: A
authors.lastname: Poola
mesh_terms: D019411:Clinical Laboratory Techniques / Q000379:methods / Q000592:standards*; D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D003658:Decision Making, Computer-Assisted; D012372:ROC Curve; D012016:Reference Values; D012680:Sensitivity and Specificity; D012984:Software