Background Dilution adjustment of spot-urinary biomarkers by conventional creatinine correction (CCRC) remains controversial. Apart from unaccounted confounders like age, sex, muscle mass, or diet, the misperception of constant mass ratios between analyte and creatinine (uCR) over a wide hydration range entails deceptive creatinine correction errors (CRCE), foremost at both ends of the uCR-spectrum. Mitigating CRCE by restricting uCR-ranges to 0.3(0.4)-3 g/L generates high numbers of sample rejects and allows for misleading fluctuations within presumably tolerable uCR-ranges. Methods The CRCE for exemplary total weight Arsenic (TWuAs) was analyzed in a large set of n= 5,599 unselected spot urine samples. After confining data to 14 - 80 years, uncorrected arsenic (uAsUC) < 500 mcg/l, and uCR < 4.5g/L, the remaining 5,400 samples were partitioned, and a calculation method to standardize uAsUC to 1 g/L uCR developed based on uAsUC-stratified power functional regression analysis (PFRA). Findings The obtained standardizing method of variable power-functional creatinine correction (V-PFCRC) represents a progression of reportedly proven simple power-functional modifications of CCRC (S-PFCRC). In contrast to CCRC and S-PFCRC, standardization to 1g/L uCR by V-PFCRC yielded constant uAsN-values over the entire uCR-range in all sextiles. Residual bias was largely neutralized in all sextiles of uAsN (R2 9E-06 - 0.04), compared to uAsUC (R2 0.93 - 0.99) and CCRC (R2 0.42 - 0.89). The efficacy of CRCE compensation was confirmed by simple PFRA in both sexes and seven age bands. The strongest %CRCEs were found in samples at low concentrations of uCR (SBC -0.96) and/or uAsUC (SBC -0.11). Interpretation Standardization to 1g/L uCR by V-PFRA allows for more reliable dilution adjustment of spot urinary results than CCRC and S-PFCRC. As an easily adoptable, novel approach, the calculation method developed in this study can minimize residual dilution bias in urinary biomarkers adjusted by uCR, SG, and osmolality. While minimizing sample rejects, V-PFCRC will improve the reliability and comparability, particularly of lower concentrated urinary biomarkers in both conventional results and multiple linear regression models. Funding Self-funded.