1979
DOI: 10.1093/ajcp/72.1.21
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Statistical Analysis of Method Comparison Data: Testing Normality

Abstract: A Lilliefors test of normality has been applied to data from precision and accuracy studies. Most data sets tested as non-normal. Simulation studies showed that the test is extremely sensitive to the rounded, narrowly distributed data that are typical of method performance studies in clinical chemistry. The Lilliefors test can be modified to be applicable to rounded data so that it gives fewer indications of non-normality. The authors conclude that the selection of a test of normality requires careful study of… Show more

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Cited by 22 publications
(13 citation statements)
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“…Measurements for the giantin KD do not follow a normal distribution as detected via the Lilliefors test at p ≤ 0.05 [60]; hence, hypothesis testing for different medians was performed via the non-parametric Wilcoxon rank sum test [61] for control versus giantin KD for the three parameters: cisternal length, intercisternal distance, and number of intercisternal connections. Data are expressed as mean ± SD.…”
Section: Discussionmentioning
confidence: 99%
“…Measurements for the giantin KD do not follow a normal distribution as detected via the Lilliefors test at p ≤ 0.05 [60]; hence, hypothesis testing for different medians was performed via the non-parametric Wilcoxon rank sum test [61] for control versus giantin KD for the three parameters: cisternal length, intercisternal distance, and number of intercisternal connections. Data are expressed as mean ± SD.…”
Section: Discussionmentioning
confidence: 99%
“…The TTV value can be used to determine and track stress-trends in a feed-forward manner through online monitoring of variations in the observed signals as the absolute value indicates the significance of the change observed. TTV takes values between -1 to +1 which corresponds to 100% certainty of decreasing and increasing trends in the tracked feature 48 . The mathematical description of TTV calculation in the form of pseudocode algorithm is presented in Table 6.…”
Section: Stress-trend Analysismentioning
confidence: 99%
“…Data were tested for normal distribution with the Lillifors test 20 . normally distributed data are presented as mean (SD), and skewed data as both median (interquartile range) and mean (SD).…”
Section: Discussionmentioning
confidence: 99%