myeloma: Survival times for multiple myeloma patients
In ssym: Fitting Semi-Parametric log-Symmetric Regression Models
myeloma R Documentation
Survival times for multiple myeloma patients
Description
The problem is to relate survival times for multiple myeloma patients
to a number of prognostic variables.
Usage
data("myeloma")
Format
A data frame with 65 observations on the following 7 variables.
tsurvival times, in months.
eventcensoring status.
x1logarithm of a blood urea nitrogen measurement at diagnosis.
x2hemoglobin measurement at diagnosis.
x3age at diagnosis.
x4sex: 0, male; 1, female.
x5serum calcium measurement at diagnosis.
References
J.F. Lawless (2002) Statistical Models and Methods for Lifetime Data, Wiley, New York.
A.P. Li, Z.X. Chen and F.C. Xie (2012) Diagnostic analysis for heterogeneous log-Birnbaum-Saunders regression models, Statistics and Probability Letters 82, 1690:1698.
ssym documentation built on April 22, 2023, 1:13 a.m.
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| myeloma | R Documentation |
Survival times for multiple myeloma patients
Description
The problem is to relate survival times for multiple myeloma patients to a number of prognostic variables.
Usage
data("myeloma")Format
A data frame with 65 observations on the following 7 variables.
tsurvival times, in months.
eventcensoring status.
x1logarithm of a blood urea nitrogen measurement at diagnosis.
x2hemoglobin measurement at diagnosis.
x3age at diagnosis.
x4sex: 0, male; 1, female.
x5serum calcium measurement at diagnosis.
References
J.F. Lawless (2002) Statistical Models and Methods for Lifetime Data, Wiley, New York. A.P. Li, Z.X. Chen and F.C. Xie (2012) Diagnostic analysis for heterogeneous log-Birnbaum-Saunders regression models, Statistics and Probability Letters 82, 1690:1698.
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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