#' NIH grant peer review scoring dataset
#'
#' @description The `NIH` dataset (Erosheva et al., 2020a) was sampled from
#' a full set of 54,740 R01 applications submitted by black and white
#' principal investigators (PIs) and reviewed by Center for Scientific
#' Review (CSR) of the National Institutes of Health (NIH) during council
#' years 2014--2016.
#'
#' It contains the original random sample of white applicants as generated by
#' Erosheva et al. (2020b) and a sample of 46 black applicants generated to
#' obtain the same ratio of white and black applicants as in the original
#' sample (for details, see Erosheva et al., 2021a). The dataset was used by
#' Erosheva et al. (2021b) to demonstrate issues of inter-rater reliability in
#' case of restricted samples.
#'
#' The available variables include preliminary criterion scores on
#' Significance, Investigator, Innovation, Approach, Environment and a
#' preliminary Overall Impact Score. Each of these criteria and the overall
#' score is scored on an integer scale from 1 (best) to 9 (worst). Besides the
#' preliminary criteria and Overall Impact Scores, the data include applicant
#' race, the structural covariates (PI ID, application ID, reviewer ID,
#' administering institute, IRG, and SRG), the matching variables -- gender,
#' ethnicity (Hispanic/Latino or not), career stage, type of academic degree,
#' institution prestige (as reflected by the NIH funding bin), area of science
#' (as reflected by the IRG handling the application), application type (new
#' or renewal) and status (amended or not) -- as well as the final overall
#' score. In addition, the file includes a study group ID variable that refers
#' to the Matched and Random subsets used in the original study.
#'
#' @references
#' Erosheva, E. A., Grant, S., Chen, M.-C., Lindner, M. D., Nakamura, R. K., &
#' Lee, C. J. (2020a). NIH peer review: Criterion scores completely account for
#' racial disparities in overall impact scores. Science Advances 6(23), eaaz4868,
#' \doi{10.1126/sciadv.aaz4868}
#'
#' Erosheva, E. A., Grant, S., Chen, M.-C., Lindner, M. D., Nakamura, R. K., &
#' Lee, C. J. (2020b). Supplementary material: NIH peer review: Criterion scores
#' completely account for racial disparities in overall impact scores.
#' Science Advances 6(23), eaaz4868, \doi{10.17605/OSF.IO/4D6RX}
#'
#' Erosheva, E., Martinkova, P., & Lee, C. J. (2021a). Supplementary material:
#' When zero may not be zero: A cautionary note on the use of inter-rater
#' reliability in evaluating grant peer review.
#'
#' Erosheva, E., Martinkova, P., & Lee, C. J. (2021b). When zero may not be zero: A
#' cautionary note on the use of inter-rater reliability in evaluating grant
#' peer review. Journal of the Royal Statistical Society -- Series A. Accepted.
#'
#' @keywords datasets
#'
#' @seealso
#' [ICCrestricted()]
#'
#' @format `NIH` is a `data.frame` consisting of 5802 observations on
#' 27 variables.
#' \describe{
#' \item{ID}{Proposal ID. }
#' \item{Score}{Preliminary Overall Impact score (1-9 integer scale, 1 best). }
#' \item{Significance, Investigator, Innovation, Approach, Environment }{
#' Preliminary Criterion Scores (1-9 integer scale, 1 best). }
#' \item{PIRace}{Principal investigator's self-identified race; `"White"`
#' or `"Black"`. }
#' \item{PIID}{Anonymized ID of principal investigator (PI). }
#' \item{PIGender}{PI's gender membership; `"Male"` or `"Female"`. }
#' \item{PIEthn}{PI's ethnicity; `"Hispanic/Latino"` or `"Non-Hispanic"`. }
#' \item{PICareerStage}{PI's career stage; `"ESI"` Early Stage Investigator,
#' `"Experienced"` Experienced Investigator, or `"Non-ES NI"`
#' Non-Early Stage New Investigator. }
#' \item{PIDegree}{PI's degree; `"PhD"`, `"MD"`, `"MD/PhD"`,
#' or `"Others"`. }
#' \item{PIInst}{Lead PI's institution's FY 2014 total institution NIH funding;
#' 5 bins with 1 being most-funded.}
#' \item{GroupID}{Group ID. }
#' \item{RevID}{Reviewer's ID. }
#' \item{IRG}{IRG (Integrated Research Group) id. }
#' \item{AdminOrg}{Administering Organization id. }
#' \item{SRG}{SRG (Scientific Research Group) id. }
#' \item{PropType}{Application type, `"New"` or `"Renewal"`. }
#' \item{Ammend}{Ammend. Logical. }
#' \item{ScoreAvg}{Average of the three overall scores from different reviewers. }
#' \item{ScoreAvgAdj}{Average of the three overall scores from different reviewers, increased by multiple of 0.001 of the worst score. }
#' \item{ScoreRank}{Project rank calculated based on `ScoreAvg`. }
#' \item{ScoreRankAdj}{Project rank calculated based on `ScoreAvgAdj`. }
#' \item{ScoreFinalChar}{Final Overall Impact score (1-9 integer scale, 1 best; `"ND"`
#' refers to "not discussed")}
#' \item{ScoreFinal}{Final Overall Impact score (1-9 integer scale, 1 best). }
#' }
"NIH"
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