| Name : R-optimalThreshold
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| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.12
| Date : 2024-06-14 11:30:41
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| Group : Development/Libraries/Other
| Source RPM : R-optimalThreshold-1.0-lp153.2.12.src.rpm
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| Size : 0.48 MB
| |
| Packager : (none)
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| Summary : Bayesian Methods for Optimal Threshold Estimation
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Description :
Functions to estimate the optimal threshold of diagnostic markers or
treatment selection markers. The optimal threshold is the marker value
that maximizes the utility of the marker based-strategy (for diagnostic
or treatment selection) in a given population. The utility function
depends on the type of marker (diagnostic or treatment selection), but
always takes into account the preferences of the patients or the
physician in the decision process. For estimating the optimal
threshold, ones must specify the distributions of the marker in
different groups (defined according to the type of marker, diagnostic
or treatment selection) and provides data to estimate the parameters of
these distributions. Ones must also provide some features of the target
populations (disease prevalence or treatment efficacies) as well as the
preferences of patients or physicians. The functions rely on Bayesian
inference which helps producing several indicators derived from the
optimal threshold. See Blangero, Y, Rabilloud, M, Ecochard, R, and
Subtil, F (2019) < doi:10.1177/0962280218821394> for the original
article that describes the estimation method for treatment selection
markers and Subtil, F, and Rabilloud, M (2019)
< doi:10.1002/bimj.200900242> for diagnostic markers.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
