Data for: Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts

Name: Data for: Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts
Creator: University of Pittsburgh; Emory University; The University of Melbourne; University of Waterloo; Seattle Children’s Research Institute; Wayne State University School of Medicine; University of Technology Sydney
Published: 2021-01-01T00:00:00+08:00

Harvard Dataverse2021-10-22 更新2026-04-09 收录

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数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/BOAXR8 数据链接链接失效反馈

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资源简介：

Investigating the effect of prenatal alcohol exposure (PAE) on child cognition function, based on data from multiple cohorts. Data are used to fit a hierarchical Bayesian structural equation model using data from six cohorts. The data include the standardised outcome variables, PAE and pre-computed propensity scores.

提供机构：

University of Pittsburgh; Emory University; The University of Melbourne; University of Waterloo; Seattle Children’s Research Institute; Wayne State University School of Medicine; University of Technology Sydney

创建时间：

2021-01-01