sepsis {ICEinfer} | R Documentation |
Artificial data.frame of 7 characteristics of patients treated for septic shock
Description
These simulated data describe the characteristics of 94 pseudo-patients treated for sepsis by two alternative Intensive Care Units.
Usage
data(sepsis)
Format
A data frame of 7 characteristics of 94 sepsis patients; no NAs.
- patid
Unique patient I.D. number; 1 through 94.
- icu
Intensive Care Unit type: 1 is type "new", and 0 is type "std".
- qalypres
Quality Adjusted Life Years preserved by treatment for sepsis.
- totcost
Total Cost of Resources Utilized in treatment for sepsis.
- age
Patient Age in years (integer).
- apache
Apache II score (integer).
- orgfails
Number of Organ Failures experienced (integer).
Details
Since only 47 patients from each of 2 Intensive Care Units are provided, this example illustrates how the Law of Large Numbers can fail to apply to ICE inferences. Unlike the 3 other "ICEinfer" example data.frames provided, the "sepsis" data.frame contains 3 additional patient charcteristics (confounders) for potential use in covariate-adjustment via linear models.
References
Obenchain RL, Sacristan JA. In reply to: The negative side of cost-effectiveness ratios. JAMA 1997; 277: 1931–1933.
Hoch JS, Briggs AH, Willan AR. Something old, something new, something borrowed, something blue: a framework for the marriage of health econometrics and cost effectiveness analysis. Health Economics 2002; 11: 415-430.
Examples
data(sepsis)
ICEscale(sepsis, icu, qalypres, totcost, lambda = 50000)
## Not run: demo(sepsis)