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c04 region-cluster variant.

Usage

morie_otis_analyze_c04_ruhela_aggregate_region_cluster(data, out_dir = NULL)

morie_otis_analyze_c04_mrm_aggregate_region_cluster(data, out_dir = NULL)

Arguments

data

c04 data.frame.

out_dir

Optional.

Value

morie_otis_analysis_result.

Examples

# \donttest{
otis_c04 <- morie_synth_otis("c04", n = 120L, seed = 1L)
morie_otis_analyze_c04_ruhela_aggregate_region_cluster(otis_c04)
#> OTIS c04 -- Aggregate RF, region-clustered: Indigenous -> Individuals in RC
#> ===========================================================================
#>   Source file                            c04 (region-clustered variant)
#>   Dataset id                             c04-RC
#>   Treatment column                       T_indigenous
#>   Outcome (count)                        NumberIndividuals_RestrictiveConfinement
#>   Year FE                                EndFiscalYear
#>   Covariate FEs                          none
#>   Cluster group (GEE)                    Region_MostRecentPlacement
#>   Cells                                  120
#>   Total outcome count                    4395
#>   Overdispersion (Poisson AIC - NB AIC)  1764.2
#> 
#> Region-clustered GEE variant of c04.
#> 
#> 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. 
# }