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Replicability Within One Study: Harnessing Multiplicity for Observational Causal Inference

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Bibliographic Details
Published in:Harvard Data Science Review
Format: Online Article RSS Article
Published: 2026
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container_title Harvard Data Science Review
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
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genre Journal Article
id rss_article:32208
institution FRELIP
journal_source_facet Harvard Data Science Review
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Replicability Within One Study: Harnessing Multiplicity for Observational Causal Inference
Data Mining
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Data Mining
Technology & Engineering — Computing
Technology & Engineering
Data Mining
Technology & Engineering — Computing
Technology & Engineering
subject_facet Data Mining
Technology & Engineering — Computing
Technology & Engineering
title Replicability Within One Study: Harnessing Multiplicity for Observational Causal Inference
title_auth Replicability Within One Study: Harnessing Multiplicity for Observational Causal Inference
title_full Replicability Within One Study: Harnessing Multiplicity for Observational Causal Inference
title_fullStr Replicability Within One Study: Harnessing Multiplicity for Observational Causal Inference
title_full_unstemmed Replicability Within One Study: Harnessing Multiplicity for Observational Causal Inference
title_short Replicability Within One Study: Harnessing Multiplicity for Observational Causal Inference
title_sort replicability within one study: harnessing multiplicity for observational causal inference
topic Data Mining
Technology & Engineering — Computing
Technology & Engineering
url https://hdsr.mitpress.mit.edu/pub/xxn09ssc