Franken ROC dataset

This is referred to in the book as the "FR" dataset. It consists of 100 cases, 67 of which are diseased, interpreted in two treatments, "0" = conventional film radiographs, "1" = digitized images viewed on monitors, by four radiologists using the ROC paradigm. Often referred to in the ROC literature as the Franken-dataset, which, along the the Van Dyke dataset, has been widely used to illustrate advances in ROC methodology.

dataset03

Format

A list with 3 elements: $ratings, $lesions and $descriptions; $ratings contain 3 elements, $NL, $LL and $LL_IL as sub-lists; $lesions contain 3 elements, $perCase, $IDs and $weights as sub-lists; $descriptions contain 7 elements, $fileName, $type, $name, $truthTableStr, $design, $modalityID and $readerID as sub-lists;

  • rating$NL, num [1:2, 1:4, 1:100, 1], ratings of non-lesion localizations, NLs

  • rating$LL, num [1:2, 1:4, 1:67, 1], ratings of lesion localizations, LLs

  • rating$LL_ILNA, this placeholder is used only for LROC data

  • lesions$perCase, int [1:67], number of lesions per diseased case

  • lesions$IDs, num [1:67, 1], numeric labels of lesions on diseased cases

  • lesions$weights, num [1:67, 1], weights (or clinical importances) of lesions

  • descriptions$fileName, chr, "dataset03", base name of dataset in `data` folder

  • descriptions$type, chr "ROC", the data type

  • descriptions$name, chr "FRANKEN", the name of the dataset

  • descriptions$truthTableStr, num [1:2, 1:4, 1:100, 1:2], truth table structure

  • descriptions$design, chr "FCTRL", study design, factorial dataset

  • descriptions$modalityID, chr [1:2] "TREAT1" "TREAT2", modality labels

  • descriptions$readerID, chr chr [1:4] "READER_1" "READER_2" "READER_3" "READER_4", reader labels

References

Franken EA, et al. Evaluation of a Digital Workstation for Interpreting Neonatal Examinations: A Receiver Operating Characteristic Study. Investigative Radiology. 1992;27(9):732-737.

Examples

res <- str(dataset03)
#> List of 3
#>  $ ratings     :List of 3
#>   ..$ NL   : num [1:2, 1:4, 1:100, 1] 3 3 4 3 3 3 4 1 1 3 ...
#>   ..$ LL   : num [1:2, 1:4, 1:67, 1] 5 5 4 4 5 4 4 5 2 2 ...
#>   ..$ LL_IL: logi NA
#>  $ lesions     :List of 3
#>   ..$ perCase: num [1:67] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ IDs    : num [1:67, 1] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ weights: num [1:67, 1] 1 1 1 1 1 1 1 1 1 1 ...
#>  $ descriptions:List of 7
#>   ..$ fileName     : chr "dataset03"
#>   ..$ type         : chr "ROC"
#>   ..$ name         : chr "FRANKEN"
#>   ..$ truthTableStr: num [1:2, 1:4, 1:100, 1:2] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ design       : chr "FCTRL"
#>   ..$ modalityID   : Named chr [1:2] "TREAT1" "TREAT2"
#>   .. ..- attr(*, "names")= chr [1:2] "TREAT1" "TREAT2"
#>   ..$ readerID     : Named chr [1:4] "READER_1" "READER_2" "READER_3" "READER_4"
#>   .. ..- attr(*, "names")= chr [1:4] "READER_1" "READER_2" "READER_3" "READER_4"
## PlotEmpiricalOperatingCharacteristics(dataset = dataset03, opChType = "ROC")$Plot