agree_test | R Documentation |
The agree_test function calculates a variety of agreement statistics. The hypothesis test of agreement is calculated by the method described by Shieh (2019). Bland-Altman limits of agreement, and confidence intervals, are also provided (Bland & Altman 1999; Bland & Altman 1986). In addition, the concordance correlation coefficient (CCC; Lin 1989) is additional part of the output.
agree_test( x, y, delta, conf.level = 0.95, agree.level = 0.95, TOST = TRUE, prop_bias = FALSE )
x |
Vector with first measurement |
y |
Vector with second measurement |
delta |
The threshold below which methods agree/can be considered equivalent, can be in any units. Often referred to as the "Equivalence Bound for Agreement" or "Maximal Allowable Difference". |
conf.level |
the confidence level required. Default is 95%. |
agree.level |
the agreement level required. Default is 95%. The proportion of data that should lie between the thresholds, for 95% limits of agreement this should be 0.95. |
TOST |
Logical indicator (TRUE/FALSE) of whether to use two one-tailed tests for the limits of agreement. Default is TRUE. |
prop_bias |
Logical indicator (TRUE/FALSE) of whether proportional bias should be considered for the limits of agreement calculations. |
Returns single list with the results of the agreement analysis.
"shieh_test"
The TOST hypothesis test as described by Shieh.
"ccc.xy"
Lin's concordance correlation coefficient and confidence intervals.
"s.shift"
Scale shift from x to y.
"l.shift"
Location shift from x to y.
"bias"
a bias correction factor that measures how far the best-fit line deviates from a line at 45 degrees. No deviation from the 45 degree line occurs when bias = 1. See Lin 1989, page 258.
"loa"
Data frame containing the limits of agreement calculations
"h0_test"
Decision from hypothesis test.
"call"
the matched call
Shieh (2019). Assessing Agreement Between Two Methods of Quantitative Measurements: Exact Test Procedure and Sample Size Calculation, Statistics in Biopharmaceutical Research, <https://doi.org/10.1080/19466315.2019.1677495>
Bland, J. M., & Altman, D. G. (1999). Measuring agreement in method comparison studies. Statistical methods in medical research, 8(2), 135-160.
Bland, J. M., & Altman, D. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. The lancet, 327(8476), 307-310.
Lawrence, I., & Lin, K. (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics, 255-268.
data('reps') agree_test(x=reps$x, y=reps$y, delta = 2)
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