MRI: The magnetic resonance imaging data
In CopulaREMADA: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
MRI R Documentation
The magnetic resonance imaging data
Description
Data on 10 studies of magnetic resonance imaging (MRI) for the diagnosis of lymph node metastasis in women with cervical cancer, the last imaging technique in the meta-analysis in Scheidler et al. (1997). Diagnosis of metastatic disease by MRI relies on nodal enlargement.
Usage
data(MRI)
Format
A data frame with 10 observations on the following 4 variables.
- TP
the number of true positives
- FN
the number of false negatives
- FP
the number of false positives
- TN
the number of true negatives
References
Scheidler, J., H. Hricak, K. K. Yu, L. Subak, and M. R. Segal. (1997) Radiological evaluation of lymph node metastases in patients with cervical cancer: A meta-analysis. Journal of the American Medical Association, 278, 1096–1101.
CopulaREMADA documentation built on Oct. 18, 2024, 1:08 a.m.
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| MRI | R Documentation |
The magnetic resonance imaging data
Description
Data on 10 studies of magnetic resonance imaging (MRI) for the diagnosis of lymph node metastasis in women with cervical cancer, the last imaging technique in the meta-analysis in Scheidler et al. (1997). Diagnosis of metastatic disease by MRI relies on nodal enlargement.
Usage
data(MRI)Format
A data frame with 10 observations on the following 4 variables.
- TP
the number of true positives
- FN
the number of false negatives
- FP
the number of false positives
- TN
the number of true negatives
References
Scheidler, J., H. Hricak, K. K. Yu, L. Subak, and M. R. Segal. (1997) Radiological evaluation of lymph node metastases in patients with cervical cancer: A meta-analysis. Journal of the American Medical Association, 278, 1096–1101.
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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