The rocsum
function returns the ROC curves with
coordinates, Area Under the Curves of markers and combination score, Area Under
the Curve comparison of markers and combination score, Confusion matrices for both
markers and combination score with the cutoff values derived from the ROC Curves.
rocsum(
markers = NULL,
comb.score = NULL,
status = NULL,
event = NULL,
direction = c("auto", "<", "="">"),
conf.level = 0.95,
cutoff.method = c("CB", "MCT", "MinValueSp", "MinValueSe", "ValueSp", "ValueSe",
"MinValueSpSe", "MaxSp", "MaxSe", "MaxSpSe", "MaxProdSpSe", "ROC01", "SpEqualSe",
"Youden", "MaxEfficiency", "Minimax", "MaxDOR", "MaxKappa", "MinValueNPV",
"MinValuePPV", "ValueNPV", "ValuePPV", "MinValueNPVPPV", "PROC01", "NPVEqualPPV",
"MaxNPVPPV", "MaxSumNPVPPV", "MaxProdNPVPPV", "ValueDLR.Negative",
"ValueDLR.Positive", "MinPvalue", "ObservedPrev", "MeanPrev", "PrevalenceMatching"),
show.plot = show.plot
)",>
A list of numeric
ROC Curves, AUC statistics and Confusion
matrices.
a numeric
data frame that includes two diagnostic tests
results
a matrix of numeric
combination scores calculated
according to the given method
a factor
vector that includes the actual disease
status of the patients
a character
string that indicates the event in the status
to be considered as positive event
a character
string determines in which direction the
comparison will be made. “>”: if the predictor values for the control group
are higher than the values of the case group (controls > cases).
“<”: if the predictor values for the control group are lower or equal than
the values of the case group (controls < cases).
a numeric
values determines the confidens interval
for the ROC curve(0.95, default).
a character
string determines the cutoff method
for the ROC curve.
a logical
. If TRUE, a ROC curve is plotted.
Default is FALSE.
Serra Ilayda Yerlitas, Serra Bersan Gengec, Necla Kochan, Gozde Erturk Zararsiz, Selcuk Korkmaz, Gokmen Zararsiz