liver.long: Prednisone versus Placebo in Liver Cirrhosis Patients -...
In JSM: Semiparametric Joint Modeling of Survival and Longitudinal Data
Description
Format
Source
References
See Also
Examples
Description
A randomized control trial in which both survival and longitudinal data were collected to examine the development of prothrombin index over time and its relationship with the survival outcome. 488 patients were randomly allocated to prednisone (251) or placebo (237) and followed until death or end of the study. liver.long only contains the longitudinal data of the trial, with one row per prothrombin index measurement.
Format
A data frame with 2968 observations on the following 3 variables.
IDpatient ID, there are 488 patients in total.
obstimetime points at which the longitudinal measurements, i.e. prothrombin index, are recorded.
prothprothrombin index measured at obstime.
Source
Andersen, P. K., Borgan O., Gill, R. D. and Kieding, N. (1993) Statistical Models Based on Counting Processes. New York: Springer.
References
Henderson, R., Diggle, P. and Dobson, A. (2002) Identification and efficacy of longitudinal markers for survival. Biostatistics 3, 33–50
See Also
Examples
1
JSM documentation built on Sept. 4, 2020, 1:08 a.m.
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Description Format Source References See Also Examples
Description
A randomized control trial in which both survival and longitudinal data were collected to examine the development of prothrombin index over time and its relationship with the survival outcome. 488 patients were randomly allocated to prednisone (251) or placebo (237) and followed until death or end of the study. liver.long only contains the longitudinal data of the trial, with one row per prothrombin index measurement.
Format
A data frame with 2968 observations on the following 3 variables.
IDpatient ID, there are 488 patients in total.
obstimetime points at which the longitudinal measurements, i.e. prothrombin index, are recorded.
prothprothrombin index measured at
obstime.
Source
Andersen, P. K., Borgan O., Gill, R. D. and Kieding, N. (1993) Statistical Models Based on Counting Processes. New York: Springer.
References
Henderson, R., Diggle, P. and Dobson, A. (2002) Identification and efficacy of longitudinal markers for survival. Biostatistics 3, 33–50
See Also
Examples
1 |
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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