code: def test_correct_missing_versus_regenie(spark):
      compare_corrections_to_regenie(
          spark,
          0.9999,
          "test_bin_out_missing_firth_",
          compare_all_cols=True,
          uncorrected=0,
          corrected=200,
          missing=[
              "35_35",
              "136_136",
              "77_77",
              "100_100",
              "204_204",
              "474_474",
          ],
      )
  
imports: from dataclasses import dataclass
  import functions
  import glow.gwas.log_reg
  import glow.gwas.approx_firth
  import pandas
  from nptyping import Float, NDArray
  import numpy
  import pytest
  from typing import Any
label_desc: Use image node_id 11 for calling a global function with example usage: test_correct_missing_versus_regenie(spark) without return types