title: Statistical analysis of ligand-binding experiments.
abstract: After a brief review of commonly used methods for parameter estimation from ligand-binding data in the biochemistry literature, we propose some diagnostic checks and statistical tests of the underlying assumptions and develop methods for evaluating the biases and variances of the estimates and for constructing confidence intervals. Examples on the analysis of data from two radioligand-binding experiments are presented to illustrate these methods.
authors.affiliation: Department of Statistics, Stanford University, California 94305.
authors.forename: T L
authors.initials: TL
authors.lastname: Lai
authors.forename: L
authors.initials: L
authors.lastname: Zhang
mesh_terms: D000818:Animals; D001665:Binding Sites; D002462:Cell Membrane / Q000378:metabolism; D007457:Iodine Radioisotopes; D007672:Kidney Cortex / Q000378:metabolism; D007700:Kinetics; D008024:Ligands; D015233:Models, Statistical; D011336:Probability; D011485:Protein Binding; D011869:Radioligand Assay; D051381:Rats; D018124:Receptors, Tumor Necrosis Factor / Q000378:metabolism; D012044:Regression Analysis; D014409:Tumor Necrosis Factor-alpha / Q000378:metabolism; D015016:Yohimbine / Q000378:metabolism
chemical_list: D007457:Iodine Radioisotopes; D008024:Ligands; D018124:Receptors, Tumor Necrosis Factor; D014409:Tumor Necrosis Factor-alpha; D015016:Yohimbine