Bioanalytical method validation is a mandatory step to evaluate the ability of developed
methods to provide accurate results for their routine application in order to trust the critical …

When the assumption of homoscedasticity is not met for analytical data, a simple and
effective way to counteract the greater influence of the greater concentrations on the fitted …

This critical review paper will discuss the main analytical calibration models as well as the
guidelines for their practical use. The main models used to fit a multiple-point calibration …

Linear models for calibration curves are overwhelmingly created based on minimization of
least squares error, with their goodness-of-fit (GOF) quantified using the square of the …

The aim of this chapter is to show checking the underlying assumptions (the errors are
independent, have a zero mean, a constant variance and follows a normal distribution) in a …

Bacterial infection, inflammatory disorder, and poor angiogenesis of tissue in chronic
wounds are the main reasons why wounds are difficult to heal. In this study, a novel MSN …

The quality of bioanalytical data is highly dependent on using an appropriate regression
model for calibration curves. Non-weighted linear regression has traditionally been used but …

Abstract Treatment of multidrug-resistant tuberculosis (MDR-TB) is challenging due to high
treatment failure rate and adverse drug events. This study aimed to develop and validate a …

The application of ordinary least squares (OLS) linear regression is widely used in order to
approximate linear external calibration data. However, the assumption of homoscedasticity …

The possibility to rationalize and simplify bioanalysis, without compromising the analytical
quality, by omitting the calibration curves was studied. Using mass spectrometry (MS) and a …