Package: DiagTest3Grp
Type: Package
Title: Diagnostic test summary measures for three ordinal groups
Version: 1.5
Date: 2012-10-05
Author: Jingqin Luo, Chengjie Xiong
Maintainer: Jingqin Luo<rosy@wubios.wustl.edu>
Description: 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.
License: GPL (>= 2.0)
Depends: car,KernSmooth,stats, gplots
LazyLoad: yes
Packaged: 2012-10-08 19:11:21 UTC; rosy
Repository: CRAN
Date/Publication: 2012-10-08 21:37:46

Description: 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.

Title: Diagonositic test accuracy evaluation for medical professionals
Description: 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.
Packaged: Sat Jul  5 17:43:56 2008; hornik