SEM: Standard Error of Measurement

In SEofM: Standard Error of Measurement

Description

To calculate the standard error of measurement (SEM) to assess the observer variability.

Usage

SEM(subject,measurement,observer,value)

Arguments

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

Value

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

Note

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.

Examples

data(SEMSample)
value=SEMSample$value
observer=SEMSample$observer
subject=SEMSample$patient
measurement=SEMSample$measurement
SEM(subject,measurement,observer,value)

SEofM documentation built on July 15, 2021, 9:07 a.m.