LeukSurv: The Leukemia Survival Data
In AHSurv: Flexible Parametric Accelerated Hazards Models
LeukSurv R Documentation
The Leukemia Survival Data
Description
A dataset on the survival of acute myeloid leukemia in 1,043 pateietns, first analyzed by Henderson et al. (2002). It is of interest to investigate possible spatial variation in survival after accounting for known subject-specific prognostic factors, which include age, sex, white blood cell count (wbc) at diagnosis, and the Townsend score (tpi) for which higher values indicates less affluent areas. Both exact residential locations of all patients and their administrative districts (24 districts that make up the whole region) are available.
Format
A data frame with 1043 rows and 9 variables:
time: survival time in days
cens: right censoring status 0=censored, 1=dead
xcoord: coordinates in x-axis of residence
ycoord: coordinates in y-axis of residence
age: age in years
sex:male=1 female=0
wbc:white blood cell count at diagnosis, truncated at 500
tpi: the Townsend score for which higher values indicates less affluent areas
district:administrative district of residence
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Mutua Kilai, abdisalam.hassan@amoud.edu.so
References
Henderson, R., Shimakura, S., and Gorst, D. (2002), Modeling spatial variation in leukemia survival data, Journal of the American Statistical Association, 97(460), 965-972.
AHSurv documentation built on June 2, 2022, 5:06 p.m.
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| LeukSurv | R Documentation |
The Leukemia Survival Data
Description
A dataset on the survival of acute myeloid leukemia in 1,043 pateietns, first analyzed by Henderson et al. (2002). It is of interest to investigate possible spatial variation in survival after accounting for known subject-specific prognostic factors, which include age, sex, white blood cell count (wbc) at diagnosis, and the Townsend score (tpi) for which higher values indicates less affluent areas. Both exact residential locations of all patients and their administrative districts (24 districts that make up the whole region) are available.
Format
A data frame with 1043 rows and 9 variables:
time: survival time in days
cens: right censoring status 0=censored, 1=dead
xcoord: coordinates in x-axis of residence
ycoord: coordinates in y-axis of residence
age: age in years
sex:male=1 female=0
wbc:white blood cell count at diagnosis, truncated at 500
tpi: the Townsend score for which higher values indicates less affluent areas
district:administrative district of residence
Author(s)
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Mutua Kilai, abdisalam.hassan@amoud.edu.so
References
Henderson, R., Shimakura, S., and Gorst, D. (2002), Modeling spatial variation in leukemia survival data, Journal of the American Statistical Association, 97(460), 965-972.
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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