impact | R Documentation |
The IMPACT dataset comprises 15 studies of patients suffering from traumatic brain injury, including individual patient data from 11 randomized controlled trials and four observational studies.
data("impact")
A data frame with 11022 observations on the following 11 variables.
name
Name of the study
type
Type of study, RCT: randomized controlled trial,OBS: observational cohort
age
Age of the patient
motor_score
Glasgow Coma Scale motor score
pupil
Pupillary reactivity
ct
Marshall Computerized Tomography classification
hypox
Hypoxia (0=no, 1=yes)
hypots
Hypotension (0=no, 1=yes)
tsah
Traumatic subarachnoid hemorrhage (0=no, 1=yes)
edh
Epidural hematoma (0=no, 1=yes)
mort
6-month mortality (0=alive, 1=dead)
The included studies were part of the IMPACT project, where a total of 25 prognostic factors were considered for prediction of 6-month mortality. Missing values were imputed using the study as a fixed effect in the imputation model (Steyerberg et al, 2008).
Steyerberg EW, Nieboer D, Debray TPA, Van Houwelingen JC. Assessment of heterogeneity in an individual participant data meta-analysis of prediction models: An overview and illustration. Stat Med. 2019;38(22):4290–309.
Murray GD, Butcher I, McHugh GS, et al. Multivariable prognostic analysis in traumatic brain injury: results from the IMPACT study. J Neurotrauma. 2007;24(2):329–337.
Steyerberg EW, Mushkudiani N, Perel P, et al. Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLOS Med. 2008;5(8):e165.
data(impact) by(impact, impact$name, summary) # Plot the distribution of age by study library(ggplot2) e <- ggplot(impact, aes(x = name, y = age)) e + geom_violin(aes(fill = type), trim = FALSE) + theme(axis.text.x = element_text(angle = 45)) + xlab("Study")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.