There are two broad classes of observational errors: random error and systematic error. Random error varies unpredictably from one measurement to another, while systematic error has the same value or proportion
Large samples have less random error than small samples. That’s because the errors in different directions cancel each other out more efficiently when you have more data points. Collecting data from a large sample increases precision andstatistical power. ...
Under the statistical null hypothesis (i.e., no agonist bias is present), a joint distribution for the random error perturbations can be built and used to assess the significance of potentially biased ligands. The whole pro- cedure is described by the following sequel of steps: (a) ...
For a particular star it is extremely difficult to decide whether a small amount of rotation or a large amount of turbulence is present, although statistical studies provide evidence for macroturbulence. These studies show that among some groups of stars there are no cases of negligibly small ...
Anticancer uses of non-oncology drugs have occasionally been found, but such discoveries have been serendipitous. We sought to create a public resource containing the growth-inhibitory activity of 4,518 drugs tested across 578 human cancer cell lines. We
Content analysis was mostly conducted manually, yet with the progress of lexical, semantic and statistical software, scholars can describe qualitative information by identifying the elemental concepts and themes (Bondi and Scott, 2010). The notable and increasing quantity of research information that has...
CONFLICT OF INTEREST: None Reported READ MORE February 3, 2021 statistical error? Jeffrey Archinal, MD | Akron Children's Hospital, Akron, OH I'll admit I'm a primary care doc and not a researcher, but I would like help understanding how one could conclude from the 4 studies of asympto...
our statistical approach provides a more accurate depiction of effect size estimates. Additionally, our study investigated a variety of moderating effects that did not reach significance (for example, sex ratio, mean age or intervention duration) or were not considered (for example, the benefits of...
Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. New York: Routledge; 1988. Google Scholar Higgins JPT, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. J R Stat Soc Ser A Stat Soc. 2009;172(1):137–59. https://doi.org/10.1111/...
Statistical analysis. The meta-analysis was conducted for eligible studies as per risk estimates by two cate- gories: low CRP values and high CRP values. Data are expressed as RR and 95% confidence interval (95% CI) for dichotomous outcomes51. The cut-off value for the high CRP was...