methods-fitObject: Modeling Function Value Objects

In DynTxRegime: Methods for Estimating Dynamic Treatment Regimes

Description

Retrieve the value objects returned by the modeling function used for the regression analysis. Extends methods defined in modelObj.

Usage

 ## S4 method for signature 'DynTxRegime'
fitObject(object, ...)  

Arguments

object	an object of class DynTxRegime.
...	ignored.

Details

There is a pattern to the format for the returned values of all standard regression tools that have been extended to the DynTxRegime class. A list is always returned. The length and structure of the list are determined by the statistical method used to estimate the optimal dynamic treatment regime and by the combination of the input arguments.

For IQ-Learning, only outcome regression models are used. These models are always communicated using objects of class modelObj. The pattern for the returned object follows:

if( iter == 0 && class(moMain) == "modelObj" && class(moCont) == "modelObj")

names(coef()) = "Combined"

if( iter > 0 && class(moMain) == "modelObj" && class(moCont) == "modelObj")

names(coef()) = "MainEffect", "Contrast"

if( iter == 0 && class(moMain) == "modelObj" && class(moCont) == "NULL")

names(coef()) = "moMain"

if( iter == 0 && class(moMain) == "NULL" && class(moCont) == "modelObj")

names(coef()) = "moCont"

For Q-Learning, only outcome regression models are used. If regression models are defined using objects of class modelObj, the returned list will follow the pattern described for IQ-Learning. If regression models are defined using objects of class modelObjSubset, a list is returned. The kth element of that list corresponds to the kth subset model and is named accordingly. Each subset model follows the pattern for modelObj described above.

For optimalSeq, a list is returned, the elements of which are named "regimes," "propen," and "outcome." Element "regimes" will contain the parameter estimates for the treatment regimes. Element "propen" will contain the parameter estimates for each of the propensity for treatment models. And, "outcome" will contain the parameter estimates for each of the outcome regression models.

For optimalClass, a list is returned, the elements of which are named "classif," "propen," and "outcome." Element "propen" will contain the parameter estimates for the propensity for treatment model. And, "outcome" will contain the parameter estimates for the outcome regression models. And, "classif" will contain the value object returned by the classification method.

Value

Returns a list of the value objects returned by the regression method(s). See the details section for more information.

Author(s)

Shannon T. Holloway <[e-mail]>

DynTxRegime documentation built on May 2, 2019, 5:21 p.m.