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Qué (quién) es randomisation - definición
PROCESS OF MAKING SOMETHING RANDOM
Randomisation; Randomize; Randomised
Randomization
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
(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
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.
Wikipedia
Randomization
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. For example, a random sample of individuals from a population refers to a sample where every individual has a known probability of being sampled. This would be contrasted with nonprobability sampling where arbitrary individuals are selected.
In various contexts, randomization may involve:
- generating a random permutation of a sequence (such as when shuffling cards);
- selecting a random sample of a population (important in statistical sampling);
- allocating experimental units via random assignment to a treatment or control condition;
- generating random numbers (random number generation); or
- transforming a data stream (such as when using a scrambler in telecommunications).
