Treatment T_c = 1 iff Region_AtTimeOfPlacement != Region_MostRecent. Outcome Y_c = NumberConsecutiveDays_Segregation winsorised at the 99th percentile.
Examples
# \donttest{
# b01 (Segregation - Detailed Dataset) carries the full placement-level
# schema, including NumberConsecutiveDays_Segregation (see the bundled
# OTIS data dictionary).
df <- morie_datasets_otis_b01_segregation_detailed(offline = TRUE)
morie_otis_make_pair_c(df)
#> $data
#> UniqueIndividual_ID EndFiscalYear Gender Age_Category
#> 1 2022-SYNTH-001-SEG 2022 Male 25 to 49
#> 2 2022-SYNTH-002-SEG 2022 Female 18 to 24
#> 3 2023-SYNTH-003-SEG 2023 Male 50 to 64
#> 4 2023-SYNTH-004-SEG 2023 Male 25 to 49
#> 5 2024-SYNTH-005-SEG 2024 Female 50 to 64
#> Region_AtTimeOfPlacement Region_MostRecentPlacement MentalHealth_Alert
#> 1 Toronto Toronto Yes
#> 2 Central Central No
#> 3 Eastern Eastern Yes
#> 4 Western Western No
#> 5 Northern Northern Yes
#> NumberConsecutiveDays_Segregation T_c Y_c
#> 1 7 0 7.00
#> 2 15 0 15.00
#> 3 22 0 22.00
#> 4 5 0 5.00
#> 5 30 0 29.68
#>
#> $T
#> [1] "T_c"
#>
#> $Y
#> [1] "Y_c"
#>
#> $covariates
#> [1] "Gender" "Age_Category" "MentalHealth_Alert"
#>
# }