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Testing homogeneity of intra‐run variance parameters in immunoassay
Author(s) -
Zeng Qi,
Davidian Marie
Publication year - 1997
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19970815)16:15<1765::aid-sim603>3.0.co;2-p
Subject(s) - homogeneity (statistics) , inference , computer science , robustness (evolution) , statistics , econometrics , mathematics , artificial intelligence , biochemistry , chemistry , gene
A common assumption in the analysis of immunoassay data is a similar pattern of within‐run variation across runs of the assay. One makes this assumption without formal investigation of its validity, despite the widely acknowledged fact that accurate understanding of intra‐run variation is critical to reliable calibration inference. We propose a simple procedure for a formal test of the assumption of the homogeneity of parameters that characterize intra‐run variation based on representation of standard curve data from multiple assay runs by a non‐linear mixed effects model. We examine the performance of the procedure and investigate the robustness of calibration inference to incorrect assumptions about the pattern of intra‐run variation. ©1997 by John Wiley & Sons, Ltd.