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Endomicroscopy is a technique for obtaining histology-like images from inside the human body in real-time, [1] [2] [3] a process known as ‘optical biopsy’. [ 4 ] [ 5 ] It generally refers to fluorescence confocal microscopy , although multi-photon microscopy and optical coherence tomography have also been adapted for endoscopic use.
Systematic errors are errors that are not determined by chance but are introduced by repeatable processes inherent to the system. [5] Sources of systematic errors include errors in equipment calibration, uncertainty in correction terms applied during experimental analysis, errors due the use of approximate theoretical models.
Confocal endoscopy, or confocal laser endomicroscopy (CLE), is a modern imaging technique that allows the examination of real-time microscopic and histological features inside the body. In the word "endomicroscopy", endo- means "within" and -skopein means "to view or observe".
Her sampling frame might be a list of third-graders in the school district (sampling frame). Over time, it is likely that the researcher will lose track of some of the children used in the original study, so that her sample frame of adults no longer matches the sample frame of children used in the study.
However, this has more recently been challenged in that results of individual studies represent a single estimate and not the average of repeated measurements and thus can be farther (or nearer) from the null value (i.e. zero) than the true value.
Joachim Boldt (Germany), an anesthesiologist formerly based at the Justus Liebig University Giessen, was stripped of his professorship and criminally investigated for forgery in his research studies. [17] As of 2024, Boldt has had 220 of his research publications retracted, and 10 others have received an expression of concern. [18] [19]
A type II error, or a false negative, is the erroneous failure in bringing about appropriate rejection of a false null hypothesis. [1] Type I errors can be thought of as errors of commission, in which the status quo is erroneously rejected in favour of new, misleading information. Type II errors can be thought of as errors of omission, in which ...
It is remarkable that the sum of squares of the residuals and the sample mean can be shown to be independent of each other, using, e.g. Basu's theorem.That fact, and the normal and chi-squared distributions given above form the basis of calculations involving the t-statistic: