Fits a pooled binary model with interaction effects using data from both group1 and group2 to allow comparing difference in coefficients between groups
fit_pooled_interaction_binary.RdFits a pooled binary model with interaction effects using data
from both group1 and group2 to allow comparing difference in
coefficients between groups
Examples
baitlist::fit_pooled_interaction_binary('aumc', 'olvg')
#>
#> Apollo model summary
#>
#> Model name : baitlist_pooled_aumc_olvg
#> Model description : Pooled binary logit with group interactions
#> Estimation method : bgw
#>
#> LL(final) : -452.09
#> Estimated parameters : 26
#>
#> Estimates:
#> asc_continue b_expected_los
#> 5.832000 -0.257200
#> b_clinical_situation b_age
#> 0.425200 -1.158000
#> b_frailty b_life_expectancy
#> -0.519000 0.360200
#> b_suffering b_disability_cardiovascular
#> -0.831400 -0.383200
#> b_disability_pulmonary b_disability_renal
#> -0.755200 -0.357600
#> b_disability_neurological b_disability_gastrointestinal
#> -0.497000 -0.617400
#> b_family_values d_asc_continue
#> -2.373000 -0.985600
#> d_expected_los d_clinical_situation
#> 0.354200 0.376800
#> d_age d_frailty
#> -0.086970 0.029540
#> d_life_expectancy d_suffering
#> 0.026000 0.464800
#> d_disability_cardiovascular d_disability_pulmonary
#> -0.002709 0.297800
#> d_disability_renal d_disability_neurological
#> 0.017710 0.075050
#> d_disability_gastrointestinal d_family_values
#> 0.238300 -0.159700
#>
#> For more detailed output, use summary, or apollo_modelOutput for full
#> outputs