Hierarchical statistical methodologies are essential for reliable analysis of Ca2+ fluxes in isolated cardiomyocyte studies due to significant data clustering.
Isolated cardiomyocyte studies analyzing Ca2+ fluxes
Hierarchical statistical methodologies
Common statistical approach assuming independence of each data point
Reliable statistical conclusions (avoiding false statistical significance)
Hierarchical statistical techniques are essential in isolated cardiomyocyte studies to prevent false positive results caused by data clustering.
Ca2+ fluxes in isolated cardiomyocytes show so much clustering that the common statistical approach that assumes independence of each data point will frequently give the false appearance of statistically significant changes. Hierarchical statistical methodologies need a little more effort, but are necessary for reliable conclusions. We present cost-free simple tools for performing these analyses.
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Markus B. Sikkel
Dárrel P. Francis
James E. Howard
Cardiovascular Research
Imperial College London
Hammersmith Hospital
Royal Brompton Hospital
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Sikkel et al. (Tue,) reported a other. Hierarchical statistical methodologies are essential for reliable analysis of Ca2+ fluxes in isolated cardiomyocyte studies due to significant data clustering.
www.synapsesocial.com/papers/69696f0bffe1ecee9edd5e7d — DOI: https://doi.org/10.1093/cvr/cvx151
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