calc.enhancedDiagTimeAndCost.bootsample: Create an enhanced pathway individual-level dataset of time...
In n8thangreen/IDEAdectree: The IDEA study clinical data health economics analysis with decision trees
Description
Usage
Arguments
Value
View source: R/enhanceddiagcost_table.R
Description
This can be used to then bootstrap patient data for mean and standard deviation estimates
for enhanced pathway (with rule-out test) by representing as mixture model.
Usage
1
2
calc.enhancedDiagTimeAndCost.bootsample(data, sens = 0.9, spec = 0.9,
FNtime = 42, testcost = 200, prop_highrisk = 0.4)
Arguments
sens
Sensitivity
spec
Specificity
FNtime
Follow-up time of false negatives
testcost
Rule-out test unit cost
prop_highrisk
Clinical judgement threshold of high risk patients
Value
Bootstrapped dataset
n8thangreen/IDEAdectree documentation built on Feb. 10, 2020, 11:35 a.m.
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Description Usage Arguments Value
View source: R/enhanceddiagcost_table.R
Description
This can be used to then bootstrap patient data for mean and standard deviation estimates for enhanced pathway (with rule-out test) by representing as mixture model.
Usage
1 2 | calc.enhancedDiagTimeAndCost.bootsample(data, sens = 0.9, spec = 0.9,
FNtime = 42, testcost = 200, prop_highrisk = 0.4)
|
Arguments
sens |
Sensitivity |
spec |
Specificity |
FNtime |
Follow-up time of false negatives |
testcost |
Rule-out test unit cost |
prop_highrisk |
Clinical judgement threshold of high risk patients |
Value
Bootstrapped dataset
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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