Nature

PARSEG: a computationally efficient approach for statistical validation of botanical seeds’ images

Human recognition and automated image validation are the most widely used approaches to validate the output of binary segmentation methods but, as the number of pixels in an image easily exceeds ...
techtimes

The Role of Assumptions in Statistical Model Selection

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
Nature

Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure

Machine learning is increasingly being used to predict clinical outcomes. Most comparisons of different methods have been based on empirical analyses in specific datasets. We used Monte Carlo ...
Royal Society of Chemistry

Analytical methods validation for FDA compliance

Course Topics Include: – FDA, ICH and USP Validation Requirements – Applying Validation Studies Consistent with Method Purpose – GMP Compliance during Validation – Validation Acceptance Criteria – ...