Use of the mean, hot deck and multiple imputation techniques to predict outcome in intensive care unit patients in Colombia

Adriana Pérez, Rodolfo J. Dennis, Jacky F.A. Gil, Martín A. Rondón, Adriana López

Research output: Contribution to journalResearch Articlepeer-review

61 Scopus citations

Abstract

A cohort of intensive care unit (ICU) patients in 20 Colombian ICUs is used to describe the application of three imputation techniques: single, hot deck and multiple imputation. These strategies were used to impute the missing data in the variables used to construct APACHE II scores, a scoring system for the ICU patients that provides an unbiased standardized estimate of the probability of hospital death. Imputed APACHE II scores were then used in the APACHE II model to estimate adjusted hospital mortality rates. The area under the receiver operating characteristic (ROC) curve was used to compare imputation strategies with respect to predictive power. While statistically significant differences were found for the area under the ROC curve, these differences were not clinically significant.

Original languageEnglish (US)
Pages (from-to)3885-3896
Number of pages12
JournalStatistics in Medicine
Volume21
Issue number24
DOIs
StatePublished - Dec 30 2002
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Statistics and Probability

Fingerprint

Dive into the research topics of 'Use of the mean, hot deck and multiple imputation techniques to predict outcome in intensive care unit patients in Colombia'. Together they form a unique fingerprint.

Cite this