<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Selby JV</submitter><funding>NCATS NIH HHS</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>The PATH Statement (2020) proposed predictive modeling for examining heterogeneity in treatment effects (HTE) in randomized clinical trials (RCTs). It distinguished risk modeling, which develops a multivariable model predicting individual baseline risk of study outcomes and examines treatment effects across risk strata, from effect modeling, which directly estimates individual treatment effects from models that include treatment, multiple patient characteristics and interactions of treatment with selected characteristics.&lt;h4>Purpose&lt;/h4>To identify, describe and evaluate findings from reports that cite the Statement and present predictive modeling of HTE in RCTs.&lt;h4>Data extraction&lt;/h4>We identified reports using PubMed, Google Scholar, Web of Science, SCOPUS through Jul</pubmed_abstract><journal>medRxiv : the preprint server for health sciences</journal><pagination>2024.05.06.24306774</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11100853</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Potential clinical impact of predictive modeling of heterogeneous treatment effects: scoping review of the impact of the PATH Statement.</pubmed_title><pmcid>PMC11100853</pmcid><funding_grant_id>UM1 TR004398</funding_grant_id><pubmed_authors>Selby JV</pubmed_authors><pubmed_authors>Fireman BH</pubmed_authors><pubmed_authors>Kent DM</pubmed_authors><pubmed_authors>Maas CCHM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Potential clinical impact of predictive modeling of heterogeneous treatment effects: scoping review of the impact of the PATH Statement.</name><description>&lt;h4>Background&lt;/h4>The PATH Statement (2020) proposed predictive modeling for examining heterogeneity in treatment effects (HTE) in randomized clinical trials (RCTs). It distinguished risk modeling, which develops a multivariable model predicting individual baseline risk of study outcomes and examines treatment effects across risk strata, from effect modeling, which directly estimates individual treatment effects from models that include treatment, multiple patient characteristics and interactions of treatment with selected characteristics.&lt;h4>Purpose&lt;/h4>To identify, describe and evaluate findings from reports that cite the Statement and present predictive modeling of HTE in RCTs.&lt;h4>Data extraction&lt;/h4>We identified reports using PubMed, Google Scholar, Web of Science, SCOPUS through Jul</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Feb</publication><modification>2026-04-07T22:49:44.232Z</modification><creation>2026-04-07T18:47:28.829Z</creation></dates><accession>S-EPMC11100853</accession><cross_references><pubmed>38766150</pubmed><doi>10.1101/2024.05.06.24306774</doi></cross_references></HashMap>