An overview of the statistical methods needed for undergraduate research emphasizing methods for data collection, data description and statistical inference including an introduction to study design, ...

Learning how to perform statistical data analysis in Microsoft Excel can help you improve your analytics and reporting. This guide takes you ...

Random effects can be incorporated to account for within-cluster homogeneity in outcomes. We illustrate the application of these methods using data consisting of patients hospitalised with a heart ...

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

The advancement of machine learning techniques and statistical methods have piqued the interest of many clinical investigators. As a journal that aims to advance the science and practice of precision ...

Innovative data collection technologies are transforming the way data is generated, collected, and analyzed. Data is helping monitor and address complex global sustainable development challenges such ...

Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.

This article discusses statistical and data mining methods used in credit scoring, highlighting their applications and effectiveness in evaluating credit risk.

Intelligent systems rely on data collected across diverse sensing modalities (such as time, frequency and 3D space) and organize them in multi-dimensional arrays, also referred to as “tensors.” ...