rhc_X | R Documentation |
The data in the example are from Frank Harrell's Hmisc
package.
The data there are very similar to the
data in Connors et al. (1996), but do not exactly reproduce analyses from
that article. So, we employ the version of that analysis in the
documentation for Ruoqi Yu's RBestMatch
package,
which attempts to be close to the analysis in Connors et al.
In Yu's version, the propensity score (her
pr
) is built using 76 covariates, and the focus of attention is on
26 "priority" covariates (her X
) and the propensity score
that were emphasized in the Connors et al. article, including those in that
article's Table 3.
rhc_X
Matrix with 5,735 rows and 28 columns:
APACHE score
Support model estimate of the prob. of surviving 2 months
Age
Number of comorbidities
ADL with missing data imputed
ADL missing
DASI (Duke Activity Status Index)
Temperature
Heart rate
Mean blood pressure
Respiratory rate
WBC
PaO2/FIO2 ratio
PaCo2
PH
Creatinine
Albumin
Glasgow Coma Score
Primary disease category COPD
Primary disease category MOSF w sepsis
Primary disease category MOSF w malignancy
Primary disease category CHF
Primary disease category coma
Primary disease category cirrhosis
Primary disease category lung cancer
Primary disease category colon cancer
Propensity score using 76 covariates
Treatment indicator
Connors et al. (1996): The effectiveness of RHC in the initial care of critically ill patients. J American Medical Association 276:889-897.
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