h_response_biomarkers_subgroups.md
In tern: Create Common TLGs Used in Clinical Trials

h_rsp_to_logistic_variables works as expected

Code
  res
Output
  $response
  [1] "RSP"

  $arm
  [1] "AGE"

  $covariates
  [1] "A" "B"

  $strata
  [1] "D"

h_logistic_mult_cont_df works as expected

Code
  res
Output
    biomarker              biomarker_label n_tot n_rsp prop        or       lcl
  1    BMRKR1 Continuous Level Biomarker 1   200   164 0.82 0.9748324 0.8795800
  2       AGE                          Age   200   164 0.82 0.9943862 0.9456819
         ucl conf_level      pval     pval_label
  1 1.080400       0.95 0.6270504 p-value (Wald)
  2 1.045599       0.95 0.8260959 p-value (Wald)

h_logistic_mult_cont_df returns missing values if data is empty (0 rows)

Code
  res
Output
    biomarker              biomarker_label n_tot n_rsp prop or lcl ucl conf_level
  1    BMRKR1 Continuous Level Biomarker 1     0     0   NA NA  NA  NA       0.95
  2       AGE                          Age     0     0   NA NA  NA  NA       0.95
    pval     pval_label
  1   NA p-value (Wald)
  2   NA p-value (Wald)

h_logistic_mult_cont_df also works with response not being called rsp

Code
  res
Output
    biomarker              biomarker_label n_tot n_rsp prop        or       lcl
  1    BMRKR1 Continuous Level Biomarker 1   200   164 0.82 0.9748324 0.8795800
  2       AGE                          Age   200   164 0.82 0.9943862 0.9456819
         ucl conf_level      pval     pval_label
  1 1.080400       0.95 0.6270504 p-value (Wald)
  2 1.045599       0.95 0.8260959 p-value (Wald)

h_tab_rsp_one_biomarker works as expected

Code
  res
Output
                 Total n   Odds Ratio      95% CI   
  ——————————————————————————————————————————————————
  All patients     48         0.99      (0.86, 1.15)
  All patients     48         1.00      (0.95, 1.06)