Multivariable Logistic Regression (Continuous Predictor)

Extracts adjusted odds ratio for a continuous variable from a multivariable logistic regression model.

logist_multi_fun_cts(
  var_model,
  var,
  response,
  data_fun,
  multi_var_all = multi_var_all
)

Arguments

var_model

Character vector of variables included in the multivariable model.

var

Character. The specific categorical variable to extract results for.

response

Character. Name of binary outcome variable.

data_fun

Data frame containing variables.

multi_var_all

Character vector of full model candidate variables. Used to determine whether var is included in var_model.

Value

A single-row matrix containing adjusted OR, CI, and p-value.

Examples

if (FALSE) { # \dontrun{
logist_multi_fun_cts(
  var_model = c("Age", "Gender"),
  var       = "Age",
  response  = "Y",
  data_fun  = mydata
)
} # }