c10 aggregate Ruhela: Female -> median RC days (institution GEE).

Usage

morie_otis_analyze_c10_ruhela_aggregate(data, out_dir = NULL)

morie_otis_analyze_c10_mrm_aggregate(data, out_dir = NULL)

Arguments

data: c10 data.frame.
out_dir: Optional.

Value

morie_otis_analysis_result.

Examples

# \donttest{
otis_c10 <- morie_synth_otis("c10", n = 120L, seed = 1L)
morie_otis_analyze_c10_ruhela_aggregate(otis_c10)
#> OTIS c10 -- Aggregate RF: Female -> median RC days, institution-clustered
#> =========================================================================
#>   Source file                            c10_segregation_and_restrictive_confinement_aggregate_durations_by_institution.csv
#>   Dataset id                             c10
#>   Treatment column                       T_female
#>   Outcome (count)                        TotalAggregatedDays_RestrictiveConfinement
#>   Year FE                                EndFiscalYear
#>   Covariate FEs                          Region_MostRecentPlacement
#>   Cluster group (GEE)                    Institution_MostRecentPlacement
#>   Cells                                  42
#>   Total outcome count                    1435
#>   Overdispersion (Poisson AIC - NB AIC)  415.7
#> 
#> Aggregate RF on c10: gender disparity in median RC days.
#> 
#> IRR > 1 ==> treatment increases the count rate; IRR < 1 ==> treatment decreases it. Concordance between Poisson and NB indicates equidispersion; large gap (Poisson AIC > NB AIC) indicates overdispersion -- trust NB. 
# }