Incorrect Analyses of Cluster-Randomized Trials that Do Not Take Clustering and Nesting into Account Likely Lead to p-Values that Are Too Small

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Incorrect Analyses of Cluster-Randomized Trials that Do Not Take Clustering and Nesting into Account Likely Lead to p-Values that Are Too Small

机译：不正确的群集随机试验分析，这些试验不会将聚类和嵌套考虑到可能导致太小的p值

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《Childhood obesity 》 |2020年第2期| 共2页
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1. Incorrect Analyses of Cluster-Randomized Trials that Do Not Take Clustering and Nesting into Account Likely Lead to p-Values that Are Too Small [J] . Childhood obesity . 2020 ,第2期

机译：不正确的群集随机试验分析，这些试验不会将聚类和嵌套考虑到可能导致太小的p值
2. Accounting for Interactions and Complex Inter-Subject Dependency in Estimating Treatment Effect in Cluster-Randomized Trials with Missing Outcomes [J] . Prague Melanie, Wang Rui, Stephens Alisa, Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2016 ,第4期

机译：评估相互作用和复杂的受试者间依存关系，以评估结果缺失的集群随机试验的治疗效果
3. Accounting for Interactions and Complex Inter-Subject Dependency in Estimating Treatment Effect in Cluster-Randomized Trials with Missing Outcomes [J] . Prague Melanie, Wang Rui, Stephens Alisa, Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology . 2016 ,第4期

机译：核对与缺失结果估算群体随机试验中的治疗效果的相互作用和复杂互相依赖
4. A SAMPLING OF ANALYSES AND SOFTWARE USE FOR CLUSTER RANDOMIZED TRIALS OVER THE LAST DECADE [C] . Elly J. H. Korendijk, Joop J. Hox International Association for Statistical Education International Conferences on Teaching Statistics . 2010

机译：在过去十年中，对集群随机试验进行分析和软件使用的采样
5. Causal Inference in Cluster-Randomized Trials and Observational Studies with Partial Interference [D] . Kilpatrick, Kayla W. 2021

机译：簇随机试验的因果推断和部分干扰的观察研究
6. A cluster-randomized trial to reduce major perinatal morbidity among women with one prior cesarean delivery in Québec (PRISMA trial): study protocol for a randomized controlled trial [O] . N. Chaillet, E. Bujold, B. Masse, 2017

机译：一项在魁北克进行剖腹产的女性中减少围产儿发病率的整群随机试验（PRISMA试验）：一项随机对照试验的研究方案
7. Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster-randomized trials with missing outcomes [O] . Prague, Mélanie, Rui, Wang, Alisa, Stephens, 2016

机译：在结果缺失的聚类随机试验中考虑相互作用和复杂的受试者间依存关系以评估治疗效果

Incorrect Analyses of Cluster-Randomized Trials that Do Not Take Clustering and Nesting into Account Likely Lead to p-Values that Are Too Small

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