aSAH: Subarachnoid hemorrhage data

In pROC: Display and Analyze ROC Curves

Subarachnoid hemorrhage data

Description

This dataset summarizes several clinical and one laboratory variable of 113 patients with an aneurysmal subarachnoid hemorrhage.

Usage

aSAH

Format

A data.frame containing 113 observations of 7 variables.

Source

Natacha Turck, Laszlo Vutskits, Paola Sanchez-Pena, Xavier Robin, Alexandre Hainard, Marianne Gex-Fabry, Catherine Fouda, Hadiji Bassem, Markus Mueller, Frédérique Lisacek, Louis Puybasset and Jean-Charles Sanchez (2010) “A multiparameter panel method for outcome prediction following aneurysmal subarachnoid hemorrhage”. Intensive Care Medicine 36(1), 107–115. DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s00134-009-1641-y")}.

See Also

Other examples can be found in all the documentation pages of this package: roc, auc, ci, ci.auc, ci.se, ci.sp, ci.thresholds, coords, plot.ci, plot.roc, print.roc, roc.test and smooth.

An example analysis with pROC is shown in:

Xavier Robin, Natacha Turck, Alexandre Hainard, et al. (2011) “pROC: an open-source package for R and S+ to analyze and compare ROC curves”. BMC Bioinformatics, 7, 77. DOI: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/1471-2105-12-77")}

Examples

# load the dataset
data(aSAH)

# Gender, outcome and set
with(aSAH, table(gender, outcome))

# Age
with(aSAH, by(age, outcome, mean))
with(aSAH, by(age, outcome,
     function(x) sprintf("mean: %.1f (+/- %.1f), median: %.1f (%i-%i)",
                         mean(x), sd(x), median(x), min(x), max(x))))

# WFNS score
with(aSAH, table(wfns=ifelse(wfns<=2, "1-2", "3-4-5"), outcome))

pROC documentation built on Nov. 2, 2023, 6:05 p.m.