Cum hoc ergo propter hocCum hoc ergo propter hoc (latin signifiant avec ceci, donc à cause de ceci) est un sophisme qui consiste à prétendre que si deux événements sont corrélés, alors, il y a un lien de cause à effet entre les deux. La confusion entre corrélation et causalité est appelée effet cigogne en zététique (en référence à la corrélation trompeuse entre le nombre de nids de cigognes et celui des naissances humaines) ; en science et particulièrement en statistique cette erreur est rappelée par la phrase « la corrélation n'implique pas la causalité », en latin : cum hoc sed non propter hoc (avec ceci, cependant pas à cause de ceci).
Coefficient of multiple correlationIn statistics, the coefficient of multiple correlation is a measure of how well a given variable can be predicted using a linear function of a set of other variables. It is the correlation between the variable's values and the best predictions that can be computed linearly from the predictive variables. The coefficient of multiple correlation takes values between 0 and 1.
Simple squamous epitheliumA simple squamous epithelium, also known as pavement epithelium and tessellated epithelium, is a single layer of flattened, polygonal cells in contact with the basal lamina (one of the two layers of the basement membrane) of the epithelium. This type of epithelium is often permeable and occurs where small molecules need to pass quickly through membranes via filtration or diffusion. Simple squamous epithelia are found in endothelium (lining of blood and lymph capillaries), mesothelium (coelomic epithelium/peritoneum), alveoli of lungs, glomeruli, and other tissues where rapid diffusion is required.
Covariance functionIn probability theory and statistics, the covariance function describes how much two random variables change together (their covariance) with varying spatial or temporal separation. For a random field or stochastic process Z(x) on a domain D, a covariance function C(x, y) gives the covariance of the values of the random field at the two locations x and y: The same C(x, y) is called the autocovariance function in two instances: in time series (to denote exactly the same concept except that x and y refer to locations in time rather than in space), and in multivariate random fields (to refer to the covariance of a variable with itself, as opposed to the cross covariance between two different variables at different locations, Cov(Z(x1), Y(x2))).
Simple columnar epitheliumSimple columnar epithelium is a single layer of columnar epithelial cells which are tall and slender with oval-shaped nuclei located in the basal region, attached to the basement membrane. In humans, simple columnar epithelium lines most organs of the digestive tract including the stomach, and intestines. Simple columnar epithelium also lines the uterus. Cilia and Mucociliary clearance Simple columnar epithelium is further divided into two categories: ciliated and non-ciliated (glandular).
Cellule caliciformevignette|Schéma d'une cellule caliciforme. Une cellule caliciforme ou cellule à mucus, parfois dénommée aussi cellule en gobelet (de l'anglais goblet cell), cellule muqueuse à pôle apical ouvert ou cellule mucipare (de mucus et du latin parere, « engendrer ») est une cellule en forme de vase allongé spécialisée dans la synthèse du mucus. Ces cellules épithéliales glandulaires sécrètent de la mucine empaquetée dans les granules de sécrétion stockés au pôle apical, puis libérée dans la lumière intestinale pour former le gel de mucus.
