b04 aggregate Ruhela: Female -> median seg duration

Usage

morie_otis_analyze_b04_ruhela_aggregate(data, out_dir = NULL)

morie_otis_analyze_b04_mrm_aggregate(data, out_dir = NULL)

Arguments

data: b04 data.frame.
out_dir: Optional.

Value

morie_otis_analysis_result.

Examples

# \donttest{
otis_b04 <- morie_synth_otis("b04", n = 120L, seed = 1L)
morie_otis_analyze_b04_ruhela_aggregate(otis_b04)
#> OTIS b04 -- Aggregate Ruhela formulation: Female -> median consecutive seg duration
#> ===================================================================================
#>   Source file                            b04_segregation_placements_consecutive_durations_by_region.csv
#>   Dataset id                             b04
#>   Treatment column                       T_female
#>   Outcome (count)                        NumberConsecutiveDays_Segregation
#>   Year FE                                EndFiscalYear
#>   Covariate FEs                          Region_AtTimeOfPlacement
#>   Cluster group (GEE)                    --
#>   Cells                                  37
#>   Total outcome count                    1467
#>   Overdispersion (Poisson AIC - NB AIC)  275.9
#> 
#> Aggregate Ruhela formulation -- Poisson + NB IRR for treatment effect on count outcome:
#>   Family   Coefficient        IRR     95% CI          p-value   AIC    Notes
#>   ---------------------------------------------------------------------------------------
#>   Poisson  factor(T_female)1  1.0199  [0.886, 1.174]  7.84e-01  634.4  n=37, total_y=1467
#>   NB       factor(T_female)1  1.0324  [0.579, 1.839]  9.14e-01  358.5  n=37, total_y=1467
#> 
#> Aggregate RF on b04 testing gender disparity in the MEDIAN consecutive duration of segregation placements, by region.
#> 
#> 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. 
# }