Перевод и анализ слов искусственным интеллектом ChatGPT
На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:
- как употребляется слово
- частота употребления
- используется оно чаще в устной или письменной речи
- варианты перевода слова
- примеры употребления (несколько фраз с переводом)
- этимология
complete randomization - перевод на русский
математика
полная рандомизация
![Two tetrahedra in a cube]]](https://commons.wikimedia.org/wiki/Special:FilePath/CubeAndStel.svg?width=200 "Two tetrahedra in a cube]]")
![[[Compound of five tetrahedra]]](https://commons.wikimedia.org/wiki/Special:FilePath/Compound of five tetrahedra.png?width=200 "[[Compound of five tetrahedra]]")
![[[Compound of ten tetrahedra]]](https://commons.wikimedia.org/wiki/Special:FilePath/Compound of ten tetrahedra.png?width=200 "[[Compound of ten tetrahedra]]")
математика
тетраэдральный граф
теория графов
полный граф
геометрия
полный четырёхугольник
геометрия
полный четырёхугольник
математика
полное многообразие
![Levin]] proved that each easy-to-verify problem can be solved as fast as SAT, which is hence NP-complete.](https://commons.wikimedia.org/wiki/Special:FilePath/3SAT 17 svg.svg?width=200 "Levin]] proved that each easy-to-verify problem can be solved as fast as SAT, which is hence NP-complete.")
![P≠NP]], while the right side is valid under the assumption that P=NP (except that the empty language and its complement are never NP-complete, and in general, not every problem in P or NP is NP-complete)](https://commons.wikimedia.org/wiki/Special:FilePath/P np np-complete np-hard.svg?width=200 "P≠NP]], while the right side is valid under the assumption that P=NP (except that the empty language and its complement are never NP-complete, and in general, not every problem in P or NP is NP-complete)")
![reductions]] typically used to prove their NP-completeness](https://commons.wikimedia.org/wiki/Special:FilePath/Relative NPC chart.svg?width=200 "reductions]] typically used to prove their NP-completeness")
![Title page from a 1739 volume of the ''Opera Omnia'' of [[Bernardino Ramazzini]]](https://commons.wikimedia.org/wiki/Special:FilePath/Opera Omnia.jpg?width=200 "Title page from a 1739 volume of the ''Opera Omnia'' of [[Bernardino Ramazzini]]")
Определение
Википедия
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.
