Statistical analysis

TN Thao P. Nguyen
AS Ali A. Sovari
AP Arash Pezhouman
SI Shankar Iyer
HC Hong Cao
CK Christopher Y. Ko
AB Aneesh Bapat
NV Nooshin Vahdani
MG Mostafa Ghanim
MF Michael C. Fishbein
HK Hrayr S. Karagueuzian
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We examined normal quantile plots and Shapiro–Wilk statistics to confirm that data followed a normal distribution in all cases. We also computed the interclass correlation coefficients (ICC; ratio of inter‐animal variation to total inter‐ and intra‐animal variation) for all measurements to determine whether observations of different myocytes from the same rat were independent (ICC near 0 indicates no ‘clustering’) or non‐independent (ICC near 1 indicates ‘clustering’). Because, overall, our ICCs ranged from 0 to 0.4, we demonstrated non‐independence for almost all cases and had to account for both inter‐ and intra‐animal variation. Therefore, means were compared using a ‘mixed’ analysis of variance model with both the usual random error effect and a random animal effect to take into account the non‐independence of observations of different myocytes from the same rat. The mean, SD, SEM, confidence interval (CI), and P value were based on the mixed model. P < 0.05 was considered statistically significant.

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