| Title: | Standard Error of Measurement |
|---|---|
| Description: | To calculate the standard error of measurement (SEM) to assess the observer variability (inter- and intra-observer variation). The methods used in this package are referenced from Zoran B. Popović (2017) <doi:10.21037/cdt.2017.03.12>. |
| Authors: | Zhicheng Du [aut, cre, cph], Yuantao Hao [aut] |
| Maintainer: | Zhicheng Du <[email protected]> |
| License: | GPL-3 |
| Version: | 0.1.0 |
| Built: | 2025-02-10 02:57:20 UTC |
| Source: | https://github.com/cran/SEofM |
To calculate the standard error of measurement (SEM) to assess the observer variability.
SEM(subject,measurement,observer,value)SEM(subject,measurement,observer,value)
subject |
the index of the subjects, e.g., 1,2,3...;1,2,3... |
measurement |
the index of the measurements, e.g., 1,1,1...;2,2,2... |
observer |
the index of the observers, e.g., 1,1,1...;2,2,2... |
value |
the value of the subjects estimated by the observers using the measurements |
SEMintra |
SEM for intra-observer variation |
SEMinter.fixed |
SEM for inter-observer variation |
SEMinter.random |
SEM for inter-observer variation, which is almost always used than SEMinter.fixed |
Please feel free to contact us, if you have any advice and find any bug!
Reference:
1. Zoran B. Popović, James D. Thomas (2017) Assessing observer variability: a user’s guide, Cardiovascular Diagnosis and Therapy, 7(3): 317-324, DOI: 10.21037/cdt.2017.03.12
Update:
Version 0.1.0: The first version.
data(SEMSample) value=SEMSample$value observer=SEMSample$observer subject=SEMSample$patient measurement=SEMSample$measurement SEM(subject,measurement,observer,value)data(SEMSample) value=SEMSample$value observer=SEMSample$observer subject=SEMSample$patient measurement=SEMSample$measurement SEM(subject,measurement,observer,value)
Sample data set of repeated measurements by three observers in 20 patients.
data(SEMSample)data(SEMSample)
A data.frame containing 120 observations of 4 variables.
Zoran B. Popović, James D. Thomas (2017) Assessing observer variability: a user’s guide, Cardiovascular Diagnosis and Therapy, 7(3): 317-324, DOI: 10.21037/cdt.2017.03.12
# load the dataset data(aSAH)# load the dataset data(aSAH)