example_noise_params_sees – serocalculator

Small example of noise parameters for typhoid

A subset of noise parameter estimates from the SEES study, for examples and testing.

example_noise_params_sees

A curve_params object (from as_sr_params()) with 4 rows and 7 columns:

antigen_iso: which antigen and isotype are being measured (data is in long format)
Country: Location for which the noise parameters were estimated
y.low: Lower limit of detection
eps: Measurement noise: the bound on the relative measurement error. The relative error is modeled as uniform on the interval from -eps to eps, so eps is the largest relative deviation a measurement can have from its true value. Assay precision is often reported as a coefficient of variation (CV), the ratio of the standard deviation to the mean for replicates, ideally measured across plates rather than within the same plate; under this uniform model the CV equals eps / sqrt(3), so a measured CV corresponds to eps = sqrt(3) * CV.
nu: Biological noise: error from cross-reactivity to other antibodies. It is defined as the 95th percentile of the distribution of antibody responses to the antigen-isotype in a population with no exposure.
y.high: Upper limit of detection
Lab: Lab for which noise was estimated.