[Standardized protocol for radioimmunoassay evaluation and quality control (author's transl)]. 1978

S Schwarz

Of several methods for constructing a radioimmunoassay (RIA) standard curve discussed in this paper the logit-log transformation emerges as the most favourable approach. In our hands, all RIA systems analyzed so far display a linear dose-response relationship after logit-log transformation. Truncating the standard curve to its operative range between effective dose 85 and 15, linear regression analysis can also be performed with the unweighted data, thus considerably facilitating computation. A standardized concept for RIA evaluation and quality control has been developed which can be executed by a low-cost desk-top calculator. A standardized protocol for RIA analyses should include the determination of total radioactivity added, the amount of both non-specifically and maximally-bound tracer hormone, 6 logarithmically-diluted standards specially prepared to cover the range between ED 85 and 15 and control samples with different levels of analyte. The RIA standard curve should be described by appropriate numerical parameters to keep a record of the intrinsic assay performance quality. Within assay variance is found on the basis of dose scatter of all unknown run in replicate, while between assay variance is based upon the observation of control sample variability. Control charts should graphically exhibit the variation of both essential assay parameters and control samples. Quality control should mainly be regarded as a means to assist in assay optimization which obviously is an important prerequisite for international standardization of RIA analyses.

UI MeSH Term Description Entries
D011786 Quality Control A system for verifying and maintaining a desired level of quality in a product or process by careful planning, use of proper equipment, continued inspection, and corrective action as required. (Random House Unabridged Dictionary, 2d ed) Control, Quality,Controls, Quality,Quality Controls
D011863 Radioimmunoassay Classic quantitative assay for detection of antigen-antibody reactions using a radioactively labeled substance (radioligand) either directly or indirectly to measure the binding of the unlabeled substance to a specific antibody or other receptor system. Non-immunogenic substances (e.g., haptens) can be measured if coupled to larger carrier proteins (e.g., bovine gamma-globulin or human serum albumin) capable of inducing antibody formation. Radioimmunoassays
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D004306 Dose-Response Relationship, Immunologic A specific immune response elicited by a specific dose of an immunologically active substance or cell in an organism, tissue, or cell. Immunologic Dose-Response Relationship,Relationship, Immunologic Dose-Response,Dose Response Relationship, Immunologic,Dose-Response Relationships, Immunologic,Immunologic Dose Response Relationship,Immunologic Dose-Response Relationships,Relationship, Immunologic Dose Response,Relationships, Immunologic Dose-Response
D000704 Analysis of Variance A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable. ANOVA,Analysis, Variance,Variance Analysis,Analyses, Variance,Variance Analyses

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