function to map a binary analysis by vector of exposures using a method specified by the method argument

Usage

map_phewas(
  data = NULL,
  design = NULL,
  outcome,
  exposures,
  covariates,
  method,
  logistf_pl = FALSE,
  .weight_var = NULL,
  workers = 1,
  plan_strategy = future::multicore,
  pwide_sig = TRUE
)

Arguments

data: data frame
design: survey design object
outcome: name of outcome variable
exposures: vector of exposure variables in data
covariates: vector of covariate names
method: method to use for analysis
logistf_pl: whether to use profile likelihood in logistf
.weight_var: name of weight variable
workers: number of workers to use for parallelization
plan_strategy: strategy for parallelization
pwide_sig: whether to add a column for significant results after p-value correction

Value

return table of results from model for the exposures