Hospital: Hospital data
In rohosen/OBPSAE: Observed best predictors for small area estimation
Description
Morris and Christiansen (1995) presented a dataset involving 23 hospitals (out of a total of 219 hospitals) that had at least 50 kidney transplants during a 27-month period.
Usage
1
Format
A data frame with 23 rows and 4 variables:
- Sample Size
Number of kidney transplants in each hospital during a 27 months period (at least 50)
- Graft Failure Rate
Graft failure rates for kidney transplant operations i.e. number of graft failures/sample size
- Severity Index
Severity index at each hospital which is measured by the average fraction of females, blacks, children, and extremely ill kidney recipients at that hospital
- SE
The standard error for the graft failure rate. The variance for the graft failure rate D_{i}, is approximated by (0.2)(0.8)/n_{i}, where 0.2 is the observed failure rate for all hospitals. Thus, D_{i} is assumed known.
rohosen/OBPSAE documentation built on May 17, 2019, 2:22 p.m.
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Description
Morris and Christiansen (1995) presented a dataset involving 23 hospitals (out of a total of 219 hospitals) that had at least 50 kidney transplants during a 27-month period.
Usage
1 |
Format
A data frame with 23 rows and 4 variables:
- Sample Size
Number of kidney transplants in each hospital during a 27 months period (at least 50)
- Graft Failure Rate
Graft failure rates for kidney transplant operations i.e. number of graft failures/sample size
- Severity Index
Severity index at each hospital which is measured by the average fraction of females, blacks, children, and extremely ill kidney recipients at that hospital
- SE
The standard error for the graft failure rate. The variance for the graft failure rate D_{i}, is approximated by (0.2)(0.8)/n_{i}, where 0.2 is the observed failure rate for all hospitals. Thus, D_{i} is assumed known.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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