losdata: Length-of-Stay (LOS) Hospital Data

In robsurvey: Robust Survey Statistics Estimation

Length-of-Stay (LOS) Hospital Data

Description

A simple random sample of 70 patients in inpatient hospital treatment.

Usage

data(losdata)

Format

A data.frame with data on the following variables:

los

length of stay (days) [integer].

weight

sampling weight [double].

fpc

finite population correction [double].

Details

The losdata are a simple random sample without replacement (SRSWOR) of size n = 70 patients from the (fictive) population of N = 2479 patients in inpatient hospital treatment. We have constructed the losdata as a showcase; though, the LOS measurements are real data that we have taken from the 201 observations in Ruffieux et al. (2000). The original LOS data of Ruffieux et al. (2000) are available in the R package robustbase; see robustbase::data(los). Our losdata are a SRSWOR of size n = 70 from the 201 original observations.

Ruffieux et al. (2000) and data.frame los in the R package robustbase.

Source

Ruffieux, C., Paccaud, F. and Marazzi, A. (2000). Comparing rules for truncating hospital length of stay. Casemix Quarterly 2.

Examples

head(losdata)

library(survey)
# Survey design for simple random sampling without replacement
dn <- if (packageVersion("survey") >= "4.2") {
        # survey design with pre-calibrated weights
        svydesign(ids = ~1, fpc = ~fpc, weights = ~weight, data = losdata,
                  calibrate.formula = ~1)
    } else {
        # legacy mode
        svydesign(ids = ~1, fpc = ~fpc, weights = ~weight, data = losdata)
    }

robsurvey documentation built on Sept. 11, 2024, 6:35 p.m.