RANDOMIZATION - définition. Qu'est-ce que RANDOMIZATION
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Qu'est-ce (qui) est RANDOMIZATION - définition


Randomization         
PROCESS OF MAKING SOMETHING RANDOM
Randomisation; Randomize; Randomised
Randomization is the process of making something random. Randomization is not haphazard; instead, a random process is a sequence of random variables describing a process whose outcomes do not follow a deterministic pattern, but follow an evolution described by probability distributions.
randomize         
PROCESS OF MAKING SOMETHING RANDOM
Randomisation; Randomize; Randomised
(randomizes, randomizing, randomized)
Note: in BRIT, also use 'randomise'
If you randomize the events or people in scientific experiments or academic research, you use a method that gives them all an equal chance of happening or being chosen. (TECHNICAL)
The wheel is designed with obstacles in the ball's path to randomise its movement...
Properly randomized studies are only now being completed.
VERB: V n, V-ed
Mendelian randomization         
  • Directed acyclic graph traditionally used to represent the Mendelian randomization framework and its core assumptions. <math>Z</math> is the genetic variants, <math>X</math> is the exposure, <math>Y</math> is the outcome of interest, and <math>U</math> are possible confounders.
STATISTICAL METHOD IN GENETIC EPIDEMIOLOGY
Mendelian randomisation; Mendelian randomization analysis; Mendelian Randomization
In epidemiology, Mendelian randomization (commonly abbreviated to MR) is a method using measured variation in genes to interrogate the causal effect of an exposure on an outcome. Under key assumptions (see below), the design reduces both reverse causation and confounding, which often substantially impede or mislead the interpretation of results from epidemiological studies.
Exemples du corpus de texte pour RANDOMIZATION
1. A Randomization Toolkit for Development Economists, recently published by J–PAL members Esther Duflo, Rachel Glennerster and Michael Kremer, will guide economists who want to implement and design their own randomized evaluations.