trtSelOptThresh-class: An S4 class to describe the optimal threshold of a treatment...

In optimalThreshold: Bayesian Methods for Optimal Threshold Estimation

Description

An S4 class to describe the optimal threshold of a treatment selection marker.

Details

You never have to create this class manually. This class is created internally when the trtSelThresh function is used.

Slots

optThresh

This slot is an object that takes in argument the sampled optimal threshold values. Numeric argument.

r0

This slot is an object that takes in argument the sampled mean risks of event occurrence in the reference arm. Numeric argument.

r1

This slot is an object that takes in argument the sampled mean risks of event occurrence in the innovative arm. Numeric argument.

xEvtRef

This slot is an object that takes in argument the marker values in the subgroup of patients that developed the event in the reference arm. Numeric argument.

xNoEvtRef

This slot is an object that takes in argument the marker values in the subgroup of patients that did not develop the event in the reference arm. Numeric argument.

xEvtInnov

This slot is an object that takes in argument the marker values in the subgroup of patients that developed the event in the innovative arm. Numeric argument.

xNoEvtInnov

This slot is an object that takes in argument the marker values in the subgroup of patients that did not develop the event in the innovative arm. Numeric argument.

lowRef

This slot is a logical argument that specifies whether the reference treatment is recommended for low values of the marker.

toxRef

This slot is a logical argument that specifies whether the reference treatment is the most toxic treatment option at equal efficacy with the innovative treatment.

markerBasedRiskRef

This slot is an object that takes in argument the sampled mean risks of event occurrence in the reference treatment under the marker-based allocation rule. Numeric argument.

markerBasedRiskInnov

This slot is an object that takes in argument the sampled mean risks of event occurrence in the innovative treatment under the marker-based allocation rule. Numeric argument.

mcmcChainEvtRef

This slot is an object that takes in argument the sampled distribution objects in the subgroup of patients that developed the event in the reference arm. list argument.

mcmcChainNoEvtRef

This slot is an object that takes in argument the sampled distribution objects in the subgroup of patients that did not develop the event in the reference arm. list argument.

mcmcChainEvtInnov

This slot is an object that takes in argument the sampled distribution objects in the subgroup of patients that developed the event in the innovative arm. list argument.

mcmcChainNoEvtInnov

This slot is an object that takes in argument the sampled distribution objects in the subgroup of patients that did not develop the event in the innovative arm. list argument.

tabMCMCChain

This slot is an object that takes in argument all the distribution parameters that were sampled using the MCMC algorithm. mcmc.listOrNull argument.

paraNamesUserDefined

This slot is an object that takes in argument the list of the distribution parameter names defined by the user in a 'fitUserDefinedDist' object. list argument.

cdfUserDefined

This slot is an object that takes in argument the list of cumulative distribution functions defined by the user in 'fitUserDefinedDist' objects. list argument.

gradientUserDefined

This slot is an object that takes in argument the list of gradient functions defined by the user in 'fitUserDefinedDist' objects. list argument.

hessianUserDefined

This slot is an object that takes in argument the list of hessian functions defined by the user in 'fitUserDefinedDist' objects. list argument.

percentNA

This slot is a numeric object that indicates the percentage of NA values contained in the 'optThresh' slot.

See Also

trtSelThresh for more details on how to estimate the optimal threshold of a treatment selection marker.

optimalThreshold documentation built on Jan. 13, 2020, 5:06 p.m.