Survival analytical techniques were used to assess agreement of a quantitative variable

Survival-agreement plots have been suggested as a new graphical approach to assess agreement in quantitative variables. We propose that survival analytical techniques can complement this method, providing a new analytical insight for agreement.

Two survival-agreement plots are used to detect the bias between to measurements of the same variable. The presence of bias is tested with log-rank test, and its magnitude with Cox regression.

An example on C-reactive protein determinations shows how survival analytical methods would be interpreted in the context of assessing agreement.

Log-rank test, Cox regression, or other analytical methods could be used to assess agreement in quantitative variables; correct interpretations require good clinical sense.