R/data-tb.interruption.R

In OpenIntroStat/openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

#' Data used to model a triage scoring scale for a Danish emergency department.
#'
#' The Lackey study was a prospective cohort study of adult smear-positive
#' tuberculosis (TB) patients enrolled between January 2010 and December 2011
#'  with no prior TB disease.  Data from the cohort was used to model the association
#'  of several predictors with a treatment interruption before the complete
#'  courses of therapy. The analysis of treatment outcome in original article
#'  uses methods for binary data.  A time-to-event analysis might be more
#'  appropriate but the dataset does not have data sufficient for that analysis.
#'
#' @name tb.interruption
#' @docType data
#' @format A tibble with 1293 rows and 18 variables:
#' \describe{
#'     \item{\code{id}}{Character vector, unique participant ID}
#'     \item{\code{age.group}}{A factor with 4 levels: \code{21 and younger}; \code{22 to 26};
#'     \code{27 to 37}; \code{38 and older}}
#'     \item{\code{bmi}}{a factor with 3 levels: \code{Normal}; \code{Overweight/Obese};
#'     \code{Underweight}.
#'     These categories reflect older WHO coding and do not apply to all populations.}
#'     \item{\code{chronic.disease}}{a factor with two levels: \code{No},
#'     no other chronic disease; \code{Yes}, other
#'     chronic diseases present in the participant}
#'     \item{\code{hiv.test}}{Outcome of HIV test, a factor with 3 levels: \code{Negative};
#'     \code{Positive}; \code{Test not Done}}
#'     \item{\code{marital.status}}{a factor with 4 levels: \code{Divorced/separated};
#'     \code{Married/cohabitating}; \code{Single}; \code{Widowed}}
#'     \item{\code{poverty}}{socioeconomic status, a factor with two levels: \code{No}, not living in
#'     extreme poverty; \code{Yes}, living in extreme poverty}
#'     \item{\code{prison.history}}{a factor with 2 levels: \code{No}, no history of having been
#'     incarcerated; \code{Yes}, participant has been incarcerated}
#'     \item{\code{education}}{a factor with 2 levels: \code{No}, participant does not have at least a
#'     secondary school education; \code{Yes}, participant does have a secondary school education}
#'     \item{\code{tobacco.use}}{a factor with 3 levels: \code{Currently smokes};
#'     \code{Never smoked}; \code{Used to Smoke}}
#'     \item{\code{alcohol.use}}{a factor with 2 levels: \code{No}, participant does not use alcohol
#'     at least weekly; \code{Yes}, participant does use alcohol at least weekly}
#'     \item{\code{drug.use}}{a factor with 2 levels: \code{No}, history of illicit drug use;
#'     \code{Yes}, a history of illicit drug use}
#'     \item{\code{rehab.history}}{a factor with 2 levels: \code{No}, no history of residence in a
#'     rehabilitation facility; \code{Yes}, prior residence in a rehabilitation facility}
#'     \item{\code{mdr.tb}}{a factor with two levels: \code{No}, participant has not been treated for
#'     multi-drug resistant TB; \code{Yes}, participant has been treated for MDR TB}
#'     \item{\code{diabetes}}{a factor with 2 levels: \code{No}, participant does not have type 2
#'     diabetes; \code{Yes}, participant does  have diabetes}
#'     \item{\code{trt.outcome}}{a factor with 4 levels denoting treatment outcome: \code{Cured};
#'     \code{Default} (treatment was  interrupted before 2 months); \code{Died};
#'     \code{Still in treatment}; \code{Transferred out}}
#'     }
#' @references Lackey, Brian, et al. "Patient characteristics associated with tuberculosis
#' treatment default: a cohort study in a high-incidence area of Lima, Peru."
#' PLoS One 10.6 (2015): e0128541. doi:10.1371/journal.pone.0128541
#' @source doi:10.5061/dryad.fp94d
#'

"tb.interruption"