icu.data: Pseudo-data based on Branson and Keele (2020)

In ivmodel: Statistical Inference and Sensitivity Analysis for Instrumental Variables Model

Pseudo-data based on Branson and Keele (2020)

Description

Data sampled with replacemenet from the original data from the (SPOT)light study used in Branson and Keele (2020). Also see Keele et al. (2018) for more details about the variables in this dataset.

Usage

data(icu.data)

Format

A data frame with 13011 observations on the following 18 variables.

age

Age of the patient in years.

male

Whether or not the patient is male; 1 if male and 0 otherwise.

sepsis_dx

Whether or not the patient is diagnosed with sepsis; 1 if so and 0 otherwise.

periarrest

Whether or not the patient is diagnosed with peri-arrest; 1 if so and 0 otherwise.

icnarc_score

The Intensive Care National Audit and Research Centre physiological score.

news_score

The National Health Service national early warning score.

sofa_score

The sequential organ failure assessment score.

v_cc1

Indicator for level of care at assessment (Level 0, normal ward care).

v_cc2

Indicator for level of care at assessment (Level 1, normal ward care).

v_cc4

Indicator for level of care at assessment (Level 2, care within a high dependency unit).

v_cc5

Indicator for level of care at assessment (Level 3, ICU care).

v_cc_r1

Indicator for recommended level of care at assessment (Level 0, normal ward care).

v_cc_r2

Indicator for recommended level of care after assessment (Level 1, normal ward care).

v_cc_r4

Indicator for recommended level of care after assessment (Level 2, care within a high dependency unit).

v_cc_r5

Indicator for recommended level of care after assessment (Level 3, ICU care).

open_bin

Binary instrument; 1 if the available number of ICU beds was less than 4, and 0 otherwise.

icu_bed

Binary treatment; 1 if admitted to an ICU bed.

site

ID for the hospital that the patient attended.

References

Keele, L. et al. (2018). Stronger instruments and refined covariate balance in an observational study of the effectiveness of prompt admission to intensive care units. Journal of the Royal Statistical Society: Series A (Statistics in Society).

Branson, Z. and Keele, L. (2020). Evaluating a Key Instrumental Variable Assumption Using Randomization Tests. American Journal of Epidemiology. To appear.

Examples

data(icu.data)

ivmodel documentation built on April 9, 2023, 5:08 p.m.