variable

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variable

 [var´e-ah-b'l]
something that changes; an attribute or property of a person, event, or object that is known to vary in a given study.
dependent variable in a mathematical equation or relationship between two or more variables, a variable whose value depends on those of others; it represents a response, behavior, or outcome that the researcher wishes to predict or explain.
extraneous variable a factor that is not itself under study but affects the measurement of the study variables or the examination of their relationships.
independent variable in a mathematical equation or relationship between two or more variables, any variable whose value determines that of others; it represents the treatment or experimental variable that is manipulated by the researcher to create an effect on the dependent variable.
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

var·i·a·ble

(var'ē-ă-bĕl),
1. That which is inconstant, which can or does change, as contrasted with a constant.
2. Deviating from the type in structure, form, physiology, or behavior.
[L. vario, to vary, change, differ]
Farlex Partner Medical Dictionary © Farlex 2012

variable

(vâr′ē-ə-bəl, văr′-)
adj.
1.
a. Likely to change or vary; subject to variation; changeable.
b. Inconstant; fickle.
2. Biology Tending to exhibit genetic variation or variation in a physical trait: geographically variable color patterns.
3. Mathematics Having no fixed quantitative value.
n.
Something that varies or is prone to variation.

var′i·a·ble·ness n.
var′i·a·bly adv.
The American Heritage® Medical Dictionary Copyright © 2007, 2004 by Houghton Mifflin Company. Published by Houghton Mifflin Company. All rights reserved.

variable

(1) Any attribute, phenomenon or event that can have different qualitative or quantitative values. Typically, a form of metadata goes with the variable, there is a variable definition that describes what is varying and there is a value for the variable. Variables are typically assessed in a clinical trial. 
(2) In Study Data Tabulation Model (SDTM), variables describe observations with roles that determine the type of information conveyed by the variable about each observation and how it can be used.

In SDTM, variables include specific subtypes used in clinical research: "study variable" in trial design refers to a variable to be captured on the case record form (CRF); an "assessment" is a study variable pertaining to the status of a subject/patient, is usually measured at a certain time and is usually not compounded significantly by combining several simultaneous measurements to form a derived assessment (e.g., BMI, or a result of statistical analysis); an "endpoint" is a variable that pertains to the trial objectives.
Segen's Medical Dictionary. © 2012 Farlex, Inc. All rights reserved.

variable

noun Epidemiology Any characteristic or attribute that can be measured. See Confounding variable, Continuous variable, Dependent variable, Independent variable, Instrumental variable, Intervening variable, Lurking variable, Natural variable, Predictor variable, Qualitative variable, Quantitative variable, Random variable.
McGraw-Hill Concise Dictionary of Modern Medicine. © 2002 by The McGraw-Hill Companies, Inc.

var·i·a·ble

(var'ē-ă-bĕl)
1. That which is inconstant, which can or does change, as contrasted with a constant.
2. Deviating from the type in structure, form, physiology, or behavior.
[L. vario, to vary, change, differ]
Medical Dictionary for the Health Professions and Nursing © Farlex 2012

var·i·a·ble

(var'ē-ă-bĕl)
That which is inconstant, which can or does change, as contrasted with a constant.
[L. vario, to vary, change, differ]
Medical Dictionary for the Dental Professions © Farlex 2012
References in periodicals archive ?
Therefore, we propose an approach for dividing the attack graph nodes into key-value pairs composed of "resource state node, attack action, and resource state node." The probability of key-value pairs is defined as P = ([P.sub.A], [P.sub.AS]).
(1) Divide the Key-Value Pairs. According to the dependency relationship between the simplified attack graphs, divide all nodes and edges into the key-value pairs in the form of "resource state node, attack action, and resource state node."
Due to the complexity of the internal network, we will discuss the classification of the key-value pairs with the directional edges.
After all map tasks are completed, all key-value pairs are sorted by partition number.
The key-value pairs in one partition are hence separated and merged into another.
The key-value pair <rid, r> (resp., <sid, s>) is sent to n Reduce tasks numbered (rid, x) (resp., (y, sid)) for any x (resp., y), whereas the key-value pair (rid, sid) is sent to the only Reduce task numbered (h(rid), h(sid)).
It employs signatures of path-base q-grams as keys and the corresponding graphs as values, forming key-value pairs. Through filtering, the graph pairs, whose common signatures are less than the threshold given by count filtering condition, are filtered out.
In the key-value pairs transmitted between mappers and reducers, the key is the edge [g.sub.x] [right arrow] [g.sub.y] and the value is the influence of [g.sub.x] on [g.sub.y] that exceeds the threshold e.
The dataset is split into key-value pairs as described in Section 2.2 and the input file has (10,928 x 10,927)/2 lines, taking up 26.8 GB of disk space.
In order to obtain apps' signature seeds, we randomly choose several HTTP flows for each app and extract the key-value pairs in their HTTP headers as signature seeds, as described in Section 4.
When the number of key-value pairs of the input vector is between 500,111 and 60,000,000 elements, the best results (lower execution time, higher bandwidth) are obtained when running the radix sort algorithmic function on the GTX 680, then on the GTX 480, on the GTX 280 and on the CPU.
* When running the radix sort algorithmic function on the graphics processing units GTX 280, GTX 480, GTX 680 and on the central processing unit i7-2600K, for a number of key-value pairs of the input vector between 35 and 262,144 elements, the best execution time was recorded on the central processing unit, then on the GTX 680 GPU, because the amount of data does not generate an enough computational load in order to fully use the huge parallel processing capacity of the GPUs.