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Commentary:One size fits all: are there standard rules for the use of genetic instruments in Mendelian randomization?

机译：评论：一种大小适合所有人：孟德尔随机化中是否有使用遗传工具的标准规则？

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Timpson Nicholas John;
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年度 2016
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正文语种 eng
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1. Commentary: One size fits all: are there standard rules for the use of genetic instruments in Mendelian randomization? [J] . Timpson Nicholas J. International Journal of Epidemiology: Official Journal of the International Epidemiological Association . 2016,第5期

机译：评论：一种尺寸适合所有人：孟德尔随机化中是否有使用遗传工具的标准规则？
2. Commentary: One size fits all: are there standard rules for the use of genetic instruments in Mendelian randomization? [J] . Timpson Nicholas J. International Journal of Epidemiology: Official Journal of the International Epidemiological Association . 2016,第5期

机译：评论：一个尺寸适合所有：是否有孟德尔随机化遗传仪器使用的标准规则？
3. Is Mendelian randomization 'lost in translation?': comments on 'Mendelian randomization equals instrumental variable analysis with genetic instruments' by Wehby et al. [J] . Lawlor DA, Windmeijer F, Smith GD Statistics in medicine . 2008,第15期

机译：孟德尔随机化是否“失去了翻译？”：Wehby等人对“孟德尔随机化等于用遗传仪器进行仪器变量分析”的评论。
4. CT saturation calculations - are they applicable in the modern world? - part IV: CT sizing as per IEC standards and the benefits of non conventional instrument transformers [C] . Bertrand Pierre, Mendik Michael, Hazel Terence, Petruleum and Chemical Industry Conference, 2009. PCIC 2009 . 2009

机译：CT饱和度计算-是否适用于现代世界？ -第四部分：按照IEC标准确定CT尺寸以及非常规仪表变压器的优势
5. Instrumental variables and Mendelian randomization with invalid instruments. [D] . Kang, Hyunseung. 2015

机译：工具变量和无效工具的孟德尔随机化。
6. Commentary: One size fits all: are there standard rules for the use of genetic instruments in Mendelian randomization? [O] . Nicholas J Timpson -1

机译：评论：一种尺寸适合所有人：孟德尔随机化中是否有使用遗传工具的标准规则？
7. Power and sample size calculations for Mendelian randomization studies using one genetic instrument [O] . Cowling BJ, Schooling CM, Freeman G 2013

机译：使用一种遗传仪器进行孟德尔随机化研究的功效和样本量计算

Commentary:One size fits all: are there standard rules for the use of genetic instruments in Mendelian randomization?

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