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@article{1692061,
author = {Kula, Roman and Bébarová, Markéta and Matejovič, Peter and Šimurda, Jiří and Pásek, Michal},
article_location = {OXFORD},
article_number = {NOV 2020},
doi = {http://dx.doi.org/10.1016/j.pbiomolbio.2020.05.008},
keywords = {Cardiomyocyte; Inward rectifier; Membrane capacitance; Normal distribution; Log-normal distribution; Gamma distribution; Geometric mean; Median},
language = {eng},
issn = {0079-6107},
journal = {PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY},
title = {Distribution of data in cellular electrophysiology: Is it always normal?},
url = {https://www.sciencedirect.com/science/article/pii/S0079610720300419?via%3Dihub},
volume = {157},
year = {2020}
}
TY - JOUR
ID - 1692061
AU - Kula, Roman - Bébarová, Markéta - Matejovič, Peter - Šimurda, Jiří - Pásek, Michal
PY - 2020
TI - Distribution of data in cellular electrophysiology: Is it always normal?
JF - PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY
VL - 157
IS - NOV 2020
SP - 11-17
EP - 11-17
PB - PERGAMON-ELSEVIER SCIENCE LTD
SN - 00796107
KW - Cardiomyocyte
KW - Inward rectifier
KW - Membrane capacitance
KW - Normal distribution
KW - Log-normal distribution
KW - Gamma distribution
KW - Geometric mean
KW - Median
UR - https://www.sciencedirect.com/science/article/pii/S0079610720300419?via%3Dihub
L2 - https://www.sciencedirect.com/science/article/pii/S0079610720300419?via%3Dihub
N2 - The distribution of data presented in many electrophysiological studies is presumed to be normal without any convincing evidence. To test this presumption, the cell membrane capacitance and magnitude of inward rectifier potassium currents were recorded by the whole-cell patch clamp technique in rat atrial myocytes. Statistical analysis of the data showed that these variables were not distributed normally. Instead, a positively skewed distribution appeared to be a better approximation of the real data distribution. Consequently, the arithmetic mean, used inappropriately in such data, may substantially overestimate the true mean value characterizing the central tendency of the data. Moreover, a large standard deviation describing the variance of positively skewed data allowed 95% confidence interval to include unrealistic negative values. We therefore conclude that the normality of the electrophysiological data should be tested in every experiment and, if rejected, the positively skewed data should be more accurately characterized by the median and interpercentile range or, if justified (namely in the case of log-normal and gamma data distribution), by the geometric mean and the geometric standard deviation. (C) 2020 Elsevier Ltd. All rights reserved.
ER -
KULA, Roman, Markéta BÉBAROVÁ, Peter MATEJOVIČ, Jiří ŠIMURDA and Michal PÁSEK. Distribution of data in cellular electrophysiology: Is it always normal? \textit{PROGRESS IN BIOPHYSICS \&{}amp; MOLECULAR BIOLOGY}. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2020, vol.~157, NOV 2020, p.~11-17. ISSN~0079-6107. Available from: https://dx.doi.org/10.1016/j.pbiomolbio.2020.05.008.
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