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, ...
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 ...
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 important study presents a statistical framework for the analysis of photometry signals and provides an open-source implementation. The evidence supporting the benefits of the presented ...
Statistical models are widely used in the social sciences for measurement, prediction, and hypothesis testing. While popular statistical software packages cover a growing number of pre-implemented ...
Quality improvement (QI) projects often employ statistical process control (SPC) charts to monitor process or outcome measures as part of ongoing feedback, to inform successive Plan-Do-Study-Act ...
The analysis of spatial point patterns has greatly advanced our understanding of ecological processes. However, the methods currently available for analyzing replicated spatial point patterns (RSPPs) ...
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 ...
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