Translation of "individual-level data " (English → French) :

microdata [ micro-data | micro-level data | micro data | individual-level data ]

individual level premium actuarial cost method

level 0 oceanographic data | level 0 data | raw oceanographic data | raw data

level I oceanographic data | level I data | primary data

level III data oceanographic | level III data | initial state parameters

Definition: This block contains a wide variety of disorders that differ in severity and clinical form but that are all attributable to the use of one or more psychoactive substances, which may or may not have been medically prescribed. The third character of the code identifies the substance involved, and the fourth character specifies the clinical state. The codes should be used, as required, for each substance specified, but it should be noted that not all fourth character codes are applicable to all substances. Identification of the psychoactive substance should be based on as many sources of information as possible. These include self-report data, analysis ...[+++] of blood and other body fluids, characteristic physical and psychological symptoms, clinical signs and behaviour, and other evidence such as a drug being in the patient's possession or reports from informed third parties. Many drug users take more than one type of psychoactive substance. The main diagnosis should be classified, whenever possible, according to the substance or class of substances that has caused or contributed most to the presenting clinical syndrome. Other diagnoses should be coded when other psychoactive substances have been taken in intoxicating amounts (common fourth character .0) or to the extent of causing harm (common fourth character .1), dependence (common fourth character .2) or other disorders (common fourth character .3-.9). Only in cases in which patterns of psychoactive substance-taking are chaotic and indiscriminate, or in which the contributions of different psychoactive substances are inextricably mixed, should the diagnosis of disorders resulting from multiple drug use (F19.-) be used. | Modifiers The following fourth-character subdivisions are for use with categories F10-F19: Code Title .0 Acute intoxication A condition that follows the administration of a psychoactive substance resulting in disturbances in level of consciousness, cognition, perception, affect or behaviour, o ...

individual computing | individual data processing [ IC | IDP ]

Definition: A state of altered consciousness in which phenomena of sleep and wakefulness are combined. During a sleepwalking episode the individual arises from bed, usually during the first third of nocturnal sleep, and walks about, exhibiting low levels of awareness, reactivity, and motor skill. Upon awakening, there is usually no recall of the event.

Definition: Nocturnal episodes of extreme terror and panic associated with intense vocalization, motility, and high levels of autonomic discharge. The individual sits up or gets up, usually during the first third of nocturnal sleep, with a panicky scream. Quite often he or she rushes to the door as if trying to escape, although very seldom leaves the room. Recall of the event, if any, is very limited (usually to one or two fragmentary mental images).

Longitudinal data: data relating to individual-level changes over time, observed periodically over a certain duration.

***I Report on the proposal for a regulation of the European Parliament and of the Council establishing a common framework for European statistics relating to persons and households, based on data at individual level collected from samples (COM(2016)0551 — C8-0345/2016 — 2016/0264(COD)) — EMPL Committee — Rapporteur: Tamás Meszerics (A8-0247/2017)

Social statistics used at EU level are taken from a variety of sources: data on persons and households collected at individual level from samples (surveys), population censuses, aggregated administrative data and data from businesses.

Social statistics are covering a wide range of domains (demography, employment, income and consumption, well-being and quality of life, education, health etc.) and they are taken from a variety of sources (data on persons and households collected at individual level from samples, population censuses, aggregated administrative data and data from businesses).