cetux: Datasets for evaluation of cetuximab in head and neck cancer
In survextrap: Bayesian Flexible Parametric Survival Modelling and Extrapolation
cetux R Documentation
Datasets for evaluation of cetuximab in head and neck cancer
Description
Datasets for evaluation of cetuximab in head and neck cancer, as previously
analysed by Guyot et al. (2017) to demonstrate models for survival extrapolation
with Bayesian evidence synthesis.
Usage
cetux
cetux_seer
cetux_bh
Format
cetux contains synthetic individual-level survival
data, generated (using the method of Guyot et al 2012) to be
consistent with the Kaplan-Meier estimates of survival published
by Bonner et al. (2006).
Columns months, years, give survival in months or
years since the date of diagnosis of head and neck cancer.
d is a numeric vector where 0 indicates censoring, and 1
indicates death at this time. treat is a factor indicating
the treatment group (Cetuximab or Control); both groups also
received radiotherapy.
cetux_seer Estimates of conditional survival from registry data,
matched to the Bonner trial population by age, gender, cancer site, and date of diagnosis.
From the "Surveillance Epidemiology and End Results" (SEER) database.
Each line gives counts of r survivors up to stop years,
given n people alive at start. haz is the
corresponding constant hazard estimate over this period, computed
as -log(r/n).
There are also 95% interval estimates for the hazard based on the data
on one period at a time, derived
from Bayesian principles as -log(qbeta(c(0.975, 0.025), r, n-r)).
cetux_bh Mortality rates for the population of the
USA, matched by age and sex to the patients from the Bonner trial.
80% are male, and the median age is 57 (range 34 to 83). Hence
the ith row is a weighted average of the male and
and female mortality rates for age 57 + i - 1.
See Guyot et al. (2017) for more details of each of these.
An object of class data.frame with 424 rows and 4 columns.
An object of class data.frame with 21 rows and 8 columns.
An object of class data.frame with 54 rows and 2 columns.
References
Guyot, P., Ades, A.E., Beasley, M., Lueza, B., Pignon, J.P. and
Welton, N.J., (2017). Extrapolation of survival curves from cancer
trials using external information. Medical Decision Making, 37(4),
pp.353-366.
Bonner, J.A., Harari, P.M., Giralt, J., Azarnia, N., Shin, D.M.,
Cohen, R.B., Jones, C.U., Sur, R., Raben, D., Jassem, J. and Ove,
R., (2006) Radiotherapy plus cetuximab for squamous-cell carcinoma
of the head and neck. New England Journal of Medicine, 354(6),
pp.567-578.
Guyot, P., Ades, A.E., Ouwens, M.J. and Welton, N.J.,
(2012) Enhanced secondary analysis of survival data: reconstructing
the data from published Kaplan-Meier survival curves. BMC Medical
Research Methodology, 12, pp.1-13.
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| cetux | R Documentation |
Datasets for evaluation of cetuximab in head and neck cancer
Description
Datasets for evaluation of cetuximab in head and neck cancer, as previously analysed by Guyot et al. (2017) to demonstrate models for survival extrapolation with Bayesian evidence synthesis.
Usage
cetux
cetux_seer
cetux_bh
Format
cetux contains synthetic individual-level survival
data, generated (using the method of Guyot et al 2012) to be
consistent with the Kaplan-Meier estimates of survival published
by Bonner et al. (2006).
Columns months, years, give survival in months or
years since the date of diagnosis of head and neck cancer.
d is a numeric vector where 0 indicates censoring, and 1
indicates death at this time. treat is a factor indicating
the treatment group (Cetuximab or Control); both groups also
received radiotherapy.
cetux_seer Estimates of conditional survival from registry data,
matched to the Bonner trial population by age, gender, cancer site, and date of diagnosis.
From the "Surveillance Epidemiology and End Results" (SEER) database.
Each line gives counts of r survivors up to stop years,
given n people alive at start. haz is the
corresponding constant hazard estimate over this period, computed
as -log(r/n).
There are also 95% interval estimates for the hazard based on the data
on one period at a time, derived
from Bayesian principles as -log(qbeta(c(0.975, 0.025), r, n-r)).
cetux_bh Mortality rates for the population of the
USA, matched by age and sex to the patients from the Bonner trial.
80% are male, and the median age is 57 (range 34 to 83). Hence
the ith row is a weighted average of the male and
and female mortality rates for age 57 + i - 1.
See Guyot et al. (2017) for more details of each of these.
An object of class data.frame with 424 rows and 4 columns.
An object of class data.frame with 21 rows and 8 columns.
An object of class data.frame with 54 rows and 2 columns.
References
Guyot, P., Ades, A.E., Beasley, M., Lueza, B., Pignon, J.P. and Welton, N.J., (2017). Extrapolation of survival curves from cancer trials using external information. Medical Decision Making, 37(4), pp.353-366.
Bonner, J.A., Harari, P.M., Giralt, J., Azarnia, N., Shin, D.M., Cohen, R.B., Jones, C.U., Sur, R., Raben, D., Jassem, J. and Ove, R., (2006) Radiotherapy plus cetuximab for squamous-cell carcinoma of the head and neck. New England Journal of Medicine, 354(6), pp.567-578.
Guyot, P., Ades, A.E., Ouwens, M.J. and Welton, N.J., (2012) Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves. BMC Medical Research Methodology, 12, pp.1-13.
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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