Liver-cirrhosis-data: Abnormal prothrombin levels in liver cirrhosis
In mstate: Data Preparation, Estimation and Prediction in Multi-State Models
Liver cirrhosis data R Documentation
Abnormal prothrombin levels in liver cirrhosis
Description
A data frame of 488 liver cirrhosis patients from a randomized clinical
trial concerning prednisone treatment in these patients. The dataset is in
long format. The included variables are
- id
Patient
identification number
- from
Starting state
- to
Receiving
state
- trans
Transition number
- Tstart
Starting time
- Tstop
Transition time
- status
Status variable; 1=transition,
0=censored
- treat
Treatment; factor with levels "Placebo",
"Prednisone"
Format
A data frame, see data.frame.
Details
This data was kindly provided by Per Kragh Andersen. It was introduced in
Andersen, Borgan, Gill & Keiding (1993), Example 1.3.12, and used as
illustration for computation of transition probabilities in multi-state
models, see Sections IV.4 (Example IV.4.4) and VII.2 (Example VII.2.10).
References
Andersen PK, Borgan O, Gill RD, Keiding N (1993).
Statistical Models Based on Counting Processes. Springer, New York.
mstate documentation built on Sept. 11, 2024, 7:32 p.m.
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| Liver cirrhosis data | R Documentation |
Abnormal prothrombin levels in liver cirrhosis
Description
A data frame of 488 liver cirrhosis patients from a randomized clinical trial concerning prednisone treatment in these patients. The dataset is in long format. The included variables are
- id
Patient identification number
- from
Starting state
- to
Receiving state
- trans
Transition number
- Tstart
Starting time
- Tstop
Transition time
- status
Status variable; 1=transition, 0=censored
- treat
Treatment; factor with levels "Placebo", "Prednisone"
Format
A data frame, see data.frame.
Details
This data was kindly provided by Per Kragh Andersen. It was introduced in Andersen, Borgan, Gill & Keiding (1993), Example 1.3.12, and used as illustration for computation of transition probabilities in multi-state models, see Sections IV.4 (Example IV.4.4) and VII.2 (Example VII.2.10).
References
Andersen PK, Borgan O, Gill RD, Keiding N (1993). Statistical Models Based on Counting Processes. Springer, New York.
R Package Documentation
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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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