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In medical research, epidemiology, social science, and biology, a cross-sectional study (also known as a cross-sectional analysis, transverse study, prevalence study) is a type of observational study that analyzes data from a population, or a representative subset, at a specific point in time—that is, cross-sectional data. [definition needed ...
In statistics and econometrics, a cross-sectional regression is a type of regression in which the explained and explanatory variables are all associated with the same single period or point in time. This type of cross-sectional analysis is in contrast to a time-series regression or longitudinal regression in which the variables are considered ...
In statistics and econometrics, cross-sectional data is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at a single point or period of time. Analysis of cross-sectional data usually consists of comparing the differences among selected subjects, typically with no regard to differences in time.
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Cross section (fiber), microscopic view of textile fibers. Section (fiber bundle) , in differential and algebraic geometry and topology, a section of a fiber bundle or sheaf Cross-sectional data , in statistics, econometrics, and medical research, a data set drawn from a single point in time
Boris Karloff in James Whale's 1931 film Frankenstein, based on Mary Shelley's 1818 novel.The monster is created by an unorthodox biology experiment.. Biology appears in fiction, especially but not only in science fiction, both in the shape of real aspects of the science, used as themes or plot devices, and in the form of fictional elements, whether fictional extensions or applications of ...
Photo Illustration by Erin O'Flynn/The Daily Beast/Getty and PublisherCormac McCarthy’s latest novel, Stella Maris, consists entirely of transcripts of conversations at a psychiatric facility ...
Allometry is a well-known study, particularly in statistical shape analysis for its theoretical developments, as well as in biology for practical applications to the differential growth rates of the parts of a living organism's body.