Estimation of coefficients of individual agreement (CIAs) for quantitative and binary data using SAS and R.
The coefficients of individual agreement (CIAs), which are based on the ratio of the intra- and inter-observer disagreement, provide a general approach for evaluating agreement between two fixed methods of measurements or human observers. In this paper, programs in both SAS and R are presented for estimation of the CIAs between two observers with quantitative or binary measurements. A detailed illustration of the computations, macro variable definitions, input and output for the SAS and R programs are also included in the text. The programs provide estimations of CIAs, their standard errors as well as confidence intervals, for the cases with or without a reference method. Data from a carotid stenosis screening study is used as an example of quantitative measurements. Data from a study involving the evaluation of mammograms by ten radiologists is used to illustrate a binary data example.
Pan
Yi
Y
Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, United States.
Gao
Jingjing
J
Haber
Michael
M
Barnhart
Huiman X
HX
D016893:Carotid Stenosis / Q000175:diagnosis; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D005260:Female; D006801:Humans; D018810:Magnetic Resonance Angiography / Q000706:statistics & numerical data; D008327:Mammography / Q000706:statistics & numerical data; D015233:Models, Statistical; D015588:Observer Variation; D012984:Software