d02 aggregate Ruhela: Female -> custodial deaths.

Usage

morie_otis_analyze_d02_ruhela_aggregate(data, out_dir = NULL)

morie_otis_analyze_d02_mrm_aggregate(data, out_dir = NULL)

Arguments

data: d02 data.frame.
out_dir: Optional.

Value

morie_otis_analysis_result.

Examples

# \donttest{
otis_d02 <- morie_synth_otis("d02", n = 120L, seed = 1L)
morie_otis_analyze_d02_ruhela_aggregate(otis_d02)
#> OTIS d02 -- Aggregate RF: Female -> Number of custodial deaths
#> ==============================================================
#>   Source file                            d02_deaths_in_custody_gender.csv
#>   Dataset id                             d02
#>   Treatment column                       T_female
#>   Outcome (count)                        Number_CustodialDeaths
#>   Year FE                                Year
#>   Covariate FEs                          none
#>   Cluster group (GEE)                    --
#>   Cells                                  120
#>   Total outcome count                    5285
#>   Overdispersion (Poisson AIC - NB AIC)  1185.2
#> 
#> Aggregate RF on d02: gender disparity in custodial death counts (small N -- expect wide CI).
#> 
#> 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. 
# }