Does data rounding-off influence reproducibility index estimates?
The intraclass correlation coefficient (ICC) is the reproducibility index commonly used to assess the reproducibility level of continuous data. Such data are collected with finite precision (i.e., a finite number of decimal digits corresponding to the level of data rounding-off error). We therefore investigated the consequences of having finite precision for data on ICC estimates, thus comparing ICC estimates in presence of rounding-off to those associated with data with infinite precision. As long as the rounding-off level is less than 0.3sigmaX (where sigmaX is the standard deviation of the outcome measured), there is no practical consequence on the ICC estimate. Therefore, in most practical situations the consequences of rounding-off data on the estimation of reproducibility levels can be ignored.
Giraudeau
Bruno
B
INSERM CIC 202, Faculte de Medecine, 2bis Bd Tonnelle, 37032 Tours cedex, France. giraudeau@med.univ-tours.fr
Ravaud
Philippe
P
Mary
Jean Yves
JY
D003625:Data Collection / Q000706:statistics & numerical data*; D015233:Models, Statistical; D015203:Reproducibility of Results