nodal: Nodal Involvement in Prostate Cancer
In boot: Bootstrap Functions (Originally by Angelo Canty for S)
nodal R Documentation
Nodal Involvement in Prostate Cancer
Description
The nodal data frame has 53 rows and 7 columns.
The treatment strategy for a patient diagnosed with cancer of the prostate
depend highly on whether the cancer has spread to the surrounding lymph nodes.
It is common to operate on the patient to get samples from the nodes which can
then be analysed under a microscope but clearly it would be preferable if an
accurate assessment of nodal involvement could be made without surgery.
For a sample of 53 prostate cancer patients, a number of possible predictor
variables were measured before surgery. The patients then had surgery to
determine nodal involvement. It was required to see if nodal involvement could
be accurately predicted from the predictor variables and which ones were
most important.
Usage
nodal
Format
This data frame contains the following columns:
m-
A column of ones.
r-
An indicator of nodal involvement.
aged-
The patients age dichotomized into less than 60 (0) and 60 or over 1.
stage-
A measurement of the size and position of the tumour observed by palpitation
with the fingers via the rectum. A value of 1 indicates a more serious
case of the cancer.
grade-
Another indicator of the seriousness of the cancer, this one is determined by
a pathology reading of a biopsy taken by needle before surgery.
A value of 1 indicates a more serious case of the cancer.
xray-
A third measure of the seriousness of the cancer taken from an X-ray reading.
A value of 1 indicates a more serious case of the cancer.
acid-
The level of acid phosphatase in the blood serum.
Source
The data were obtained from
Brown, B.W. (1980) Prediction analysis for binary data. In
Biostatistics Casebook.
R.G. Miller, B. Efron, B.W. Brown and L.E. Moses (editors),
3–18. John Wiley.
References
Davison, A.C. and Hinkley, D.V. (1997)
Bootstrap Methods and Their Application. Cambridge University Press.
boot documentation built on Sept. 11, 2024, 6:15 p.m.
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| nodal | R Documentation |
Nodal Involvement in Prostate Cancer
Description
The nodal data frame has 53 rows and 7 columns.
The treatment strategy for a patient diagnosed with cancer of the prostate depend highly on whether the cancer has spread to the surrounding lymph nodes. It is common to operate on the patient to get samples from the nodes which can then be analysed under a microscope but clearly it would be preferable if an accurate assessment of nodal involvement could be made without surgery.
For a sample of 53 prostate cancer patients, a number of possible predictor variables were measured before surgery. The patients then had surgery to determine nodal involvement. It was required to see if nodal involvement could be accurately predicted from the predictor variables and which ones were most important.
Usage
nodal
Format
This data frame contains the following columns:
m-
A column of ones.
r-
An indicator of nodal involvement.
aged-
The patients age dichotomized into less than 60 (
0) and 60 or over1. stage-
A measurement of the size and position of the tumour observed by palpitation with the fingers via the rectum. A value of
1indicates a more serious case of the cancer. grade-
Another indicator of the seriousness of the cancer, this one is determined by a pathology reading of a biopsy taken by needle before surgery. A value of
1indicates a more serious case of the cancer. xray-
A third measure of the seriousness of the cancer taken from an X-ray reading. A value of
1indicates a more serious case of the cancer. acid-
The level of acid phosphatase in the blood serum.
Source
The data were obtained from
Brown, B.W. (1980) Prediction analysis for binary data. In Biostatistics Casebook. R.G. Miller, B. Efron, B.W. Brown and L.E. Moses (editors), 3–18. John Wiley.
References
Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.
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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