Methods · Regression · Method comparison regression

Passing-Bablok Regression

Passing-Bablok regression is a nonparametric method-comparison line whose slope is a shifted median of all pairwise slopes, robust to outliers and requiring no distributional assumption about errors.

Passing-Bablok 회귀는 모든 점 쌍 기울기의 이동 중앙값으로 직선을 정하는 비모수 측정법 비교 회귀로, 이상값에 강하고 오차 분포를 가정하지 않습니다.

How do I compare a new laboratory method with a reference method without assuming normal errors?

정규 오차를 가정하지 않고 새 검사법과 기준 검사법을 비교하려면 어떻게 하나요?

Passing-Bablok regression estimates the slope as a shifted median of all pairwise slopes and the intercept as the median of the remaining differences, so a few outliers have little influence. Confidence intervals for slope and intercept test proportional and constant bias, and a CUSUM test checks whether a straight line is adequate.

When to use Passing-Bablok Regression

When to use something else

Assumptions and requirements

What the analysis reports

How to report it

Passing-Bablok regression of [method B] on [method A] (n = [value]) gave a slope of [value], 95% CI [[value], [value]], and an intercept of [value], 95% CI [[value], [value]]; the CUSUM test showed no deviation from linearity (p = [value]).

Related methods

Run Passing-Bablok Regression on Quorant

Data you need
a table (CSV or Excel) with an outcome variable and predictor (feature) columns
Price
250 credits for one analysis up to 10,000 rows (complexity level 2); larger or wider data costs more. Optional methodologist review: 1200 credits.
Checking
Checked by property tests in every deployment
Before you pay
A free pre-analysis diagnosis checks your data and gives an exact quote; nothing is deducted until you approve it.

Method ID Q21028 · Reviewed 2026-10-25