constrained randomization - meaning and definition. What is constrained randomization
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What (who) is constrained randomization - definition

STATISTICAL METHOD IN GENETIC EPIDEMIOLOGY
Mendelian randomisation; Mendelian randomization analysis; 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.
  • Gregor Mendel. The term Mendelian randomization was termed because the random assignment of genetic variants from parents to offspring is fundamental to the method.

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.
Degree-preserving randomization         
Degree Preserving Randomization
Degree Preserving Randomization is a technique used in Network Science that aims to assess whether or not variations observed in a given graph could simply be an artifact of the graph's inherent structural properties rather than properties unique to the nodes, in an observed network.
Constrained comics         
Constrained comic
Constrained comics is a form of comics that places some fundamental constraint on form beyond those inherent to the medium. By adding a constraint, the artist is attempting to produce original art within tightly defined boundaries.

Wikipedia

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.

The study design was first proposed in 1986 and subsequently described by Gray and Wheatley as a method for obtaining unbiased estimates of the effects of a putative causal variable without conducting a traditional randomized controlled trial (i.e. the "gold standard" in epidemiology for establishing causality). These authors also coined the term Mendelian randomization.