Table S1. Model performance for ICISS to predict 90-day mortality using split-sample approach, linked hospitalisation and mortality data, NSW, 1 January 2010 to 30 June 2014 (DOCX 16 kb
Multivariate, mixed-effects Poisson regression model for hospital length of stay. (DOCX 20Â kb
Table S1. Baseline characteristics of trauma patients in training and validation cohorts*. Table S2....
Figure S1. Proportion of patients across the range of prehospital risk scores with various healthcar...
Table S2. Model performance for ICISS to predict ICU admission using spilt-sample approach, linked h...
Selection and categorization of the independent variables for the logistic regression model associat...
Multivariable logistic regression analysis of the training set (N = 4321) for Critical Care Trauma C...
Bootstrap sampling (500 and 1000 times) to estimate the optimism in the AUC (c-statistics) based on ...
Abstract Background Measures to improve the accuracy of determining survival and intensive care unit...
Proportional odds regression model for GCS at discharge in patients with head injury. (DOCX 14 kb
Additional file 1: Supplementary Table 1. The characteristics of patients from eICU in the survival ...
Figure S1. Flowchart of patient selection. A total of 684 trauma patients were enrolled in the curre...
Table S1. Weighted frequency and percentage of patients admitted to the ICU with hospital course com...
Web Table 1. Characteristics of the validation cohort (NHANES 1988â1994 and 1999â2004) (DOCX 21 ...
Table S1. Variables selected for model. Table S2. APPROVE performance in derivation cohort to predic...
List of ICD-9 and Abbreviated Injury Scale (AIS) codes used for query. (DOCX 20 kb
Multivariate, mixed-effects Poisson regression model for hospital length of stay. (DOCX 20Â kb
Table S1. Baseline characteristics of trauma patients in training and validation cohorts*. Table S2....
Figure S1. Proportion of patients across the range of prehospital risk scores with various healthcar...
Table S2. Model performance for ICISS to predict ICU admission using spilt-sample approach, linked h...
Selection and categorization of the independent variables for the logistic regression model associat...
Multivariable logistic regression analysis of the training set (N = 4321) for Critical Care Trauma C...
Bootstrap sampling (500 and 1000 times) to estimate the optimism in the AUC (c-statistics) based on ...
Abstract Background Measures to improve the accuracy of determining survival and intensive care unit...
Proportional odds regression model for GCS at discharge in patients with head injury. (DOCX 14 kb
Additional file 1: Supplementary Table 1. The characteristics of patients from eICU in the survival ...
Figure S1. Flowchart of patient selection. A total of 684 trauma patients were enrolled in the curre...
Table S1. Weighted frequency and percentage of patients admitted to the ICU with hospital course com...
Web Table 1. Characteristics of the validation cohort (NHANES 1988â1994 and 1999â2004) (DOCX 21 ...
Table S1. Variables selected for model. Table S2. APPROVE performance in derivation cohort to predic...
List of ICD-9 and Abbreviated Injury Scale (AIS) codes used for query. (DOCX 20 kb
Multivariate, mixed-effects Poisson regression model for hospital length of stay. (DOCX 20Â kb
Table S1. Baseline characteristics of trauma patients in training and validation cohorts*. Table S2....
Figure S1. Proportion of patients across the range of prehospital risk scores with various healthcar...
DOI