RMPB: RMPB: A package to assess the reproducibility of predictive...
In henok535/RMPB: Reproducibility Metric for Predictive Biomarker
Description
The RMPB package provided a number of functions used to estimate the predictive
biomarker clinical utility. It main purpose it to estimate the change in the
theta value when the obsered biomarker is the gold standard and a modified biomarker.
The modified biomarker is consider as one which is the gold standard plus some
error.
Package Structure
The package is structured in such a way that a user can simulate his/her
own data that suits the study under consideration. Once the data is generated
the following procedures can be used to get an estimate of the reproducibility
metric:
1. Estimate theta assuming the observed biomarker is the gold standard using the
function \thetags\.
2. Estimate theta assuming the observed biomarker is the modified assay using the
function *thetama*.
3. Estimate the difference between 1 and 2 using the function *delta4r*. This value
tells us whether the clinical utility of the predictive biomarker under consideration
which was obtained when the gold standard biomarker was observed is replicable under the
modified assay.
henok535/RMPB documentation built on May 17, 2019, 11:08 a.m.
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Description
The RMPB package provided a number of functions used to estimate the predictive biomarker clinical utility. It main purpose it to estimate the change in the theta value when the obsered biomarker is the gold standard and a modified biomarker. The modified biomarker is consider as one which is the gold standard plus some error.
Package Structure
The package is structured in such a way that a user can simulate his/her own data that suits the study under consideration. Once the data is generated the following procedures can be used to get an estimate of the reproducibility metric:
1. Estimate theta assuming the observed biomarker is the gold standard using the function \thetags\.
2. Estimate theta assuming the observed biomarker is the modified assay using the function *thetama*.
3. Estimate the difference between 1 and 2 using the function *delta4r*. This value tells us whether the clinical utility of the predictive biomarker under consideration which was obtained when the gold standard biomarker was observed is replicable under the modified assay.
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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