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Data and code for: A tutorial on individual participant data meta-analysis using Bayesian multilevel modeling to estimate alcohol intervention effects across heterogeneous studies (2019)

NIAID Data Ecosystem2026-03-10 收录

个体参与者数据

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数据链接：

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资源简介：

This repository contains the companion data and R code for Huh, Mun, Walters, Zhou, and Atkins (2019).

应用场景：

创建时间：

2019-01-28

疟疾临床研究

个体参与者数据

This is a dataset contributed by the University of Bamako MLI to IDDO’s Malaria research platform in 2012. It has been curated to the CDISC SDTM data standard at the individual participant-level for 4

DataCite Commons2026-03-12 更新30

Malaria data from the Asia region collected in 2004/2007 by the London School of Hygiene & Tropical Medicine GBR.

疟疾临床研究

个体参与者数据

This is a dataset contributed by the London School of Hygiene & Tropical Medicine GBR to IDDO’s Malaria research platform in 2017. It has been curated to the CDISC SDTM data standard at the individual

DataCite Commons2026-03-24 更新30

Malaria data from the Africa region collected in 2002/2003 by the Novartis (Switzerland) CHE.

疟疾临床研究

个体参与者数据

This is a dataset contributed by the Novartis (Switzerland) CHE to IDDO’s Malaria research platform in 2012. It has been curated to the IDDO Mapper data standard at the individual participant-level fo

DataCite Commons2026-03-16 更新30

Malaria data from the Asia region collected in 1996/1999 by the Oxford University Clinical Research Unit Indonesia IDN.

疟疾临床研究

个体参与者数据

This is a dataset contributed by the Oxford University Clinical Research Unit Indonesia IDN to IDDO’s Malaria research platform in 2021. It has been curated to the CDISC SDTM data standard at the indi

DataCite Commons2026-03-23 更新30

Malaria data from the Africa region collected in 2013/2015 by the Epicentre FRA.

疟疾研究

个体参与者数据

This is a dataset contributed by the Epicentre FRA to IDDO’s Malaria research platform in 2015. It has been curated to the IDDO Mapper data standard at the individual participant-level for 399 partici

DataCite Commons2026-03-16 更新30

Data and code for: A tutorial on individual participant data meta-analysis using Bayesian multilevel modeling to estimate alcohol intervention effects across heterogeneous studies (2019)

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