2020
DOI: 10.48550/arxiv.2010.05749
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Detecting the skewness of data from the sample size and the five-number summary

Abstract: For clinical studies with continuous outcomes, when the data are potentially skewed, researchers may choose to report the whole or part of the five-number summary (the sample median, the first and third quartiles, and the minimum and maximum values), rather than the sample mean and standard deviation. For the studies with skewed data, if we include them in the classical meta-analysis for normal data, it may yield misleading or even wrong conclusions. In this paper, we develop a flow chart and three new tests f… Show more

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Cited by 16 publications
(12 citation statements)
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“…We calculated the mean difference in continuous variables for treatment effect measurement while the odds ratio was calculated for discrete variables. Where medians and interquartile ranges were reported, they were assessed for skewness and whether the data were similar to a normal distribution, and the mean and standard deviation were imputed [ 9 , 10 , 11 ]. Standard errors were calculated using a 95% confidence interval, and a p -value of 0.05 was used to determine statistical significance.…”
Section: Methodsmentioning
confidence: 99%
“…We calculated the mean difference in continuous variables for treatment effect measurement while the odds ratio was calculated for discrete variables. Where medians and interquartile ranges were reported, they were assessed for skewness and whether the data were similar to a normal distribution, and the mean and standard deviation were imputed [ 9 , 10 , 11 ]. Standard errors were calculated using a 95% confidence interval, and a p -value of 0.05 was used to determine statistical significance.…”
Section: Methodsmentioning
confidence: 99%
“…Weighted mean difference (MD) and 95% CI were calculated for the continuous outcome. LLL was reported as a median value with an interquartile range in Vos et al [7], a specific function algorithm was performed to calculate the mean and standard deviation [12][13][14][15]. Estimates and 95% CIs were graphically presented using Forest plots [16].…”
Section: Discussionmentioning
confidence: 99%
“…For the SELENOP concentration, data were expressed as the means and standard deviations (SDs); otherwise, the reported standard error (SE), median and interquartile range, or geometric mean and SE were converted to the expression by the corresponding formula [ 35 , 36 , 37 , 38 ]. For the correlation between SELENOP and GLM indicators, data were expressed as PCC, and SCC was converted to PCC using an appropriate method [ 39 ].…”
Section: Methodsmentioning
confidence: 99%