The R package provides utilities to estimate and make inference on two summary measures for diagnostic tests when there are three ordinal groups ----volume under ROC surface (VUS) and the extended Youden index, assuming that diagnostic markers increase monotonically and stochastically with disease severity. Point estimates, variance, confidence interval and optimal cut-points both under the normal assumption and also the non-parametric method(s) will be provided for the summary measures. Statistical tests are implemented to compare multiple diagnostic tests and two diagnostic test.  Sample size is calculated to estimate the summary measures within a user-specified margin of error for future study planning.

Diagonositic test accuracy evaluation for medical professionals
DiagnosisMed is a package to analyse data from diganostic test accuracy evaluating health conditions. It is beeing built to be used by health professionals. This pacakge is - or soon will be - able to estimate sample size for common situations in diagnostic test accuracy, estimate sensitivity and especificity form categorical and continuous test results including some evaluations of indeteminate results, or compare different analysis strategies into measures commonly used by health professionals.

R (>= 2.7.1),epitools,epicalc, TeachingDemos, tcltk
Diagnostic test accuracy evaluation for medical professionals
DiagnosisMed is a package to analyze data from diagnostic test accuracy evaluating health conditions. It is being built to be used by health professionals. This package is - or soon will be - able to estimate sample size for common situations in diagnostic test accuracy, estimate sensitivity and specificity form categorical and continuous test results including some evaluations of indeterminate results, or compare different analysis strategies into measures commonly used by health professionals.
Wed Aug 20 01:29:17 2008; Pedro Emmanuel

Sun Sep 14 02:35:58 2008; Pedro Emmanuel

DiagnosisMed is a package to analyze data from diagnostic test accuracy evaluating health conditions. It is being built to be used by health professionals. This package is - or soon will be - able to estimate sample size for common situations in diagnostic test accuracy, estimate sensitivity and specificity from categorical and continuous test results including some evaluations of indeterminate results, or compare different analysis strategies into measures commonly used by health professionals.
Fri Sep 26 13:16:11 2008; Pedro Emmanuel