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Multi-study R -learner for estimating heterogeneous treatment effects across studies using statistical machine learning

Biostatistics(2024)10.1093/biostatistics/kxaf040Source: DataRank Database

Multi-study R -learner for estimating heterogeneous treatment effects across studies using statistical machine learning is a research paper published in Biostatistics (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning · arXiv

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Enrichment:Funding (4 grants)Impact (FWCI 0.96)OA: hybridTopics (39)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

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Findable (2/2)

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Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (4)

Boyu Ren ORCID,Prasad Patil ORCID,Giovanni Parmigiani ORCID,Cathy Shyr ORCID

Live enrichment

PubMed:41410481 PMC:PMC12713001 OpenAlex:https://openalex.org/W4417498771

U.S. National Institutes of Health National Library of Medicine

Grant: R00LM014429

National Cancer Institute

Grant: 5T32CA009337-40

Training Grant in Quantitative Sciences for Cancer Research

National Science Foundation NSF-DMS

Grant: 2113707

NCI NIH HHS

Grant: T32 CA009337

FWCI

0.96

Citation Percentile

0.8%

Citation Trend

2026

hybridLicense: cc-by

journalhttps://academic.oup.com/biostatistics/article-pdf/26/1/kxaf040/65996242/kxaf040.pdf

publisherhttps://academic.oup.com/biostatistics/article-pdf/26/1/kxaf040/65996242/kxaf040.pdf

journalhttps://doi.org/10.1093/biostatistics/kxaf040

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41410481

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12713001/

Fields of Study

Advanced Causal Inference TechniquesStatistical Methods in Clinical TrialsStatistical Methods and Inference0301 basic medicine01 natural sciences03 medical and health sciences0101 mathematics

MeSH Terms

Machine LearningTreatment Effect HeterogeneityData Interpretation, StatisticalHumansModels, StatisticalTreatment OutcomeBiostatisticsPrecision Medicine

Keywords

CovariateObservational studyAverage treatment effectEstimationOutcome (game theory)Variation (astronomy)Function (biology)Series (stratigraphy)Machine LearningCausal InferencePrecision MedicineBetween-study HeterogeneityConditional Average Treatment EffectTreatment Effect HeterogeneityFOS: Computer and information sciencesModels, StatisticalMethodologyMachine Learning (stat.ML)BiostatisticsArticleMethodology (stat.ME)Treatment OutcomeData Interpretation, StatisticalHumans

Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning

10.48550/arxiv.2306.01086arXiv