Correspondence to: Dr Johan Thor Medical Management Centre, Berzelius väg 3, 5th floor, Karolinska Institutet, S-171 77 Stockholm, Sweden; johan.thor{at}ki.se Objective: To systematically review the ...

Abstract: This paper recasts the problem of online secondary path modeling in the form of a statistical inverse problem. A statistical and, in particular, a Bayesian approach towards secondary path ...

Statistical analyses are a crucial component of the biomedical research process and are necessary to draw inferences from biomedical research data. The application of sound statistical methodology is ...

What is Minitab for Mac? Minitab for Mac is a powerful statistical software designed to help professionals and organizations improve quality and streamline processes through data analysis. Optimized ...

The Multi-Output Gaussian Process Toolkit is a Python toolkit for multichannel time series analysis. MOGPTK implements multioutput Gaussian process models with different covariance architectures, ...

Background The way that data are presented can influence quality and safety initiatives. Time-series charts highlight changes but do not clarify whether data lie outside expected variation.

Pilot trials have a key role in preparing for definitive randomized trials, yet determining their sample size remains a common challenge. This article provides practical guidance, methods, and ...

This course will enable you to analyse large-scale genetic data using standard analytical approaches and freely available software tools. The course will cover statistical background for association ...

Among all the professionals in clinical research working with data and statistics, an emerging debate is whether SAS software or R is more suitable and beneficial for statistical programming in ...

Here, we provide detailed guidelines for imputing HLA alleles and testing for their association with human diseases and traits in large-scale cohorts and global biobanks. We also provide a ...