Fit the case-control model
fitCaseControlModel(
caseControlData,
useCovariates = FALSE,
excludeCovariateIds = c(),
includeCovariateIds = c(),
caseControlsExposure = NULL,
profileGrid = NULL,
profileBounds = c(log(0.1), log(10)),
prior = createPrior("laplace", useCrossValidation = TRUE),
control = createControl(cvType = "auto", startingVariance = 0.01, tolerance = 2e-07,
cvRepetitions = 10, selectorType = "byPid", noiseLevel = "quiet")
)A data frame as generated by the createCaseControlData
function.
Whether to use the covariates in the caseControlsExposure.
Exclude these covariates from the model.
Include only these covariates in the model.
An object of type caseControlsExposure as created using the
getDbExposureData function.
A one-dimensional grid of points on the log(relative risk) scale where the likelihood for coefficient of variables is sampled. See details.
The bounds (on the log relative risk scale) for the adaptive sampling of the likelihood function.
The prior used to fit the model. See
createPrior for details.
The control object used to control the cross-validation used to
determine the hyperparameters of the prior (if applicable). See
createControl for details.
An object of type outcomeModel.
Fits the model using a conditional logistic regression.
For likelihood profiling, either specify the `profileGrid` for a completely user- defined grid, or `profileBounds` for an adaptive grid. Both should be defined on the log IRR scale. When both `profileGrid` and `profileGrid` are `NULL` likelihood profiling is disabled.