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We began analyzing https://www.tandfonline.com/doi/abs/10.4161/fly.4.4.13260, but it redirected us to https://www.tandfonline.com/doi/abs/10.4161/fly.4.4.13260. The analysis below is for the second page.

Title[redir]:
Full article: Large standard deviations and logarithmic-normality
Description:
“The standard deviation and the standard error of the mean measure two different things and are often confused. Most medical investigators summarize their data with the standard error of the mean b...

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Keywords {🔍}

open, values, chc, standard, distribution, data, science, normality, windowgoogle, scholar, raw, table, hemocyte, deviation, drosophila, windowweb, large, pattern, obtained, windowpubmed, journals, sciences, assumption, larvae, permissions, lnchc, lamellocyte, deviations, wildtype, error, analysis, transformed, access, search, normal, lognormal, total, tests, sample, cantons, fig, page, taylor, francis, journal, studies, sorrentino, individual, statistical, conform,

Topics {✒️}

social care medicine parasite-derived immune-suppressive factors google scholar reprints references glantz sa medical investigators summarize google scholar remillieux-leschelle hemocyte-specific transmembrane protein jak-stat92e pathway genes drosophila toll/cactus pathway standard cornmealyeast-agar medium figures depicting comparisons request academic permissions tumor-inducing genetic backgrounds blood cell development twitter page taylor crossref citations journal search calls francis group methods fly stocks analyzing hemocyte counts/concentrations sciences circulating blood cell body mass index receive personalised research back-transformed chc values initial qualitative tests experimental conditions visually unappealing—information usa mcgraw-hill 37 environment statistics manual 1960 applied statistics 1984 google scholar qiu google scholar brückner google scholar chiu google scholar nevill google scholar sachs google scholar limpert cellular innate immune log-normal distribution pattern journals books wild-type stock wildtype genetic background view content find guidance employ bar graphs black bar represents hematopoietic tumor suppressor toll-nfκb pathways cellular immune response

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Body mass index: a measure of fatness or leanness?
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
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Schema {🗺️}

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      articleSection:Brief Communication
      name:Large standard deviations and logarithmic-normality
      headline:Large standard deviations and logarithmic-normality
      abstract:While many quantifiable biological phenomena can be described by making use of an assumption of normality in the distribution of individual values, many biological phenomena are not accurately described by the normal distribution. An unquestioned assumption of normality of distribution of possible outcomes can lead to misinterpretation of data, which could have serious consequences. Thus it is extremely important to test the validity of an assumption of normality of possible outcomes. As it turns out, the logarithmic-normal (log-normal) distribution pattern is often far more accurate in describing statistical biological phenomena. Herein I examine large samples of values for circulating blood cell (hemocyte) concentration (CHC) among both wild-type and mutant Drosophila larvae, and demonstrate in both cases that the distribution of individual values does not conform to normality, but does conform to log-normality.
      description:While many quantifiable biological phenomena can be described by making use of an assumption of normality in the distribution of individual values, many biological phenomena are not accurately described by the normal distribution. An unquestioned assumption of normality of distribution of possible outcomes can lead to misinterpretation of data, which could have serious consequences. Thus it is extremely important to test the validity of an assumption of normality of possible outcomes. As it turns out, the logarithmic-normal (log-normal) distribution pattern is often far more accurate in describing statistical biological phenomena. Herein I examine large samples of values for circulating blood cell (hemocyte) concentration (CHC) among both wild-type and mutant Drosophila larvae, and demonstrate in both cases that the distribution of individual values does not conform to normality, but does conform to log-normality.
      author:
            type:Person
            name:Richard P. Sorrentino
            type:Person
            name:Richard P. Sorrentino
      pageStart:327
      pageEnd:332
      datePublished:2010-11-01
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