complete randomization - meaning and definition. What is complete randomization
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What (who) is complete 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.
Complete spatial randomness         
PROCESS WHEREBY POINT EVENTS OCCUR WITHIN A GIVEN STUDY AREA IN A COMPLETELY RANDOM FASHION
Complete spatial randomness (CSR) describes a point process whereby point events occur within a given study area in a completely random fashion. It is synonymous with a homogeneous spatial Poisson process.
complete graph         
SIMPLE UNDIRECTED GRAPH IN WHICH EVERY PAIR OF DISTINCT VERTICES IS CONNECTED BY A UNIQUE EDGE
Full graph; Complete Digraph; Complete digraph; K n; Tetrahedral Graph; Complete graphs
A graph which has a link between every pair of nodes. A complete bipartite graph can be partitioned into two subsets of nodes such that each node is joined to every node in the other subset. (1995-01-24)

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.