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Investigating the causal effect of maternal continuum of care on child's minimum acceptable diet: A multilevel approach using partially pooled propensity score weighting

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DataCite Commons2025-11-11 更新2026-04-25 收录
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https://figshare.com/articles/dataset/Investigating_the_causal_effect_of_maternal_continuum_of_care_on_child_s_minimum_acceptable_diet_A_multilevel_approach_using_partially_pooled_propensity_score_weighting/30073489
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This item contains datasets and materials necessary to replicate the findings of the study "<i>Investigating the causal effect of maternal continuum of care on child's minimum acceptable diet: A multilevel approach using partially pooled propensity score weighting</i>".<br><br><b>Information on files</b><br><b>mics_raw_data.zip</b> contains the raw de-identified data on children, women and household informations from 2019 Bangladesh Multiple Indicator Cluster Survey.<b>joined.rds</b> is a processed dataset in RDS format (a native binary format in R) that can be directly loaded into the R environment as a dataframe. It contains data on children aged 6–23 months whose mothers had a live birth in the preceding two years, providing the analytic sample required to replicate the study’s findings.<b>01_data_merging.R</b> contains the R code detailing the steps required to generate joined.rds from the raw MICS 2019 survey datasets.To reproduce the results of this study, follow the steps mentioned in the Github repository https://github.com/shafayetShafee/mad-coc-IPW.git
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figshare
创建时间:
2025-09-08
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