Description Details Author(s) References Examples
This package consists of a single function 'survNRI' that calculates five different estimators of the Net Reclassification Improvement (NRI) statistic. See references below and ?survNRI for more information.
Package: | survNRI |
Type: | Package |
Version: | 0.0 |
Date: | 2013-04-09 |
License: GPL-2 |
Yingye Zhenge, Tianxi Cai and Marshall Brown
Maintainer: <mdbrown@fhcrc.org>
Lifetime Data Anal. 2012 Dec 20. [Epub ahead of print] Evaluating incremental values from new predictors with net reclassification improvement in survival analysis. Zheng Y, Parast L, Cai T, Brown M. PMID: 23254468
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | #load simulated data
data(SimData)
#all estimates, with 95% normal approx bootstrap CI
survNRI( time = "stime", event = "status",
model1 = "y1",
model2 = c("y1", "y2"),
data = SimData,
predict.time = 3,
method = "all",
bootMethod = "normal",
bootstraps = 25)
#only SmoothIPW, SEM and combined, with 99% bootstrap percentile CI
tmp <- survNRI( time = "stime", event = "status",
model1 = "y1",
model2 = c("y1", "y2"),
data = SimData,
predict.time = 3,
method = c("SmoothIPW", "SEM", "Combined"),
bootMethod ="percentile",
bootstraps = 25,
alpha = .01 )
#look at the results
tmp
#access estimates and ci's
tmp$estimates
tmp$CI
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