Statistics

Operating system

Statistical model

Machine learning

Data mining

Econometrics

Artificial intelligence

Programming language

Data science

Toolbox

Upgrade

Statistical analysis

Mathematics

Independence (probability theory)

Computer science

Conditional independence

Statistical hypothesis testing

Missing data

Exercise and Sport Sciences Reviews

Researchers in neuromechanics should upgrade their statistical toolbox. We propose linear mixed-effects models in place of commonly used statistical tests to better capture subject-specific baselines and treatment-associated effects that naturally occur in neuromechanics. Researchers can use this approach to handle sporadic missing data, avoid the assumption of conditional independence in observations, and successfully model complex experimental protocols.

Rethinking the Statistical Analysis of Neuromechanical Data