Outcome Modeler for SensIAT Single Index Model.

Outcome Modeler for SensIAT Single Index Model.

Usage

SensIAT_sim_outcome_modeler(
  formula,
  data,
  kernel = "K2_Biweight",
  method = "nmk",
  id = ..id..,
  ...
)

SensIAT_sim_outcome_modeler_fbw(
  formula,
  data,
  kernel = "K2_Biweight",
  method = "nmk",
  id = ..id..,
  ...
)

Arguments

formula

The outcome model formula

data

The data to fit the outcome model to. Should only include follow-up data, i.e. time > 0.

kernel

The kernel to use for the outcome model.

method

The optimization method to use for the outcome model, either "optim", "nlminb", or "nmk".

id

The patient identifier variable for the data.

...

Currently ignored, included for future compatibility.

Value

Object of class SensIAT::Single-index-outcome-model which contains the outcome model portion.

Functions

• SensIAT_sim_outcome_modeler_fbw(): for fitting with a fixed bandwidth

Examples

# A basic example using fixed intensity bandwidth.
object <-
    fit_SensIAT_within_group_model(
        group.data = SensIAT_example_data,
        outcome_modeler = SensIAT_sim_outcome_modeler,
        id = Subject_ID,
        outcome = Outcome,
        time = Time,
        knots = c(60,260,460),
        End = 830,
        intensity.args=list(bandwidth=30)
    )