prepare_data_sdsu: Prepare data for applying mid-year strategy

In ABCDscores: Summary Scores of the Adolescent Brain Cognitive Development (ABCD) Study

Prepare data for applying mid-year strategy

Description

Clean and prepare data for Static and Dynamic Substance Use (SDSU) scoring:

• derive session_type ("A" for annual, "M" for mid-year),

• compute session_date and session_age,

• fill missing session dates within each participant and sort by filled date,

• map mid-year sessions to the next observed annual session (session_id_mapped),

• compute last_session_id, forecast_next_annual, and session_id_mapped_forecast.

Usage

prepare_data_sdsu(data)

Arguments

data	tibble. Dataset with columns from several tables (e.g. su_y_lowuse, su_y_sui, su_y_mypi, su_y_mysu, su_y_tlfb) and containing at minimum participant_id, session_id, ab_g_dyn__visit_dtt, ab_g_dyn__visit_age, and su_y_mypi_dtt.

Value

tibble. Input tibble with added/modified columns: session_type, session_date, session_date_filled, session_id_mapped, last_session_id, forecast_next_annual, and session_id_mapped_forecast.

Examples

## Not run: 
prepare_data_sdsu(dplyr::tibble(
  participant_id = "sub-1",
  session_id = "ses-01A",
  ab_g_dyn__visit_dtt = as.Date("2020-01-01"),
  su_y_mypi_dtt = as.Date(NA)
))

## End(Not run)

ABCDscores documentation built on Nov. 12, 2026, 1:07 a.m.