Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 18 min ago
Peer-reviewedLicence not statedJournal of the Royal Statistical Society Series B (Statistical Methodology)

The promises of multiple experiments: identifying joint distribution of potential outcomes

  • Peng Wu1
  • Xiaojie Mao2
  1. 1School of Mathematics and Statistics, Beijing Technology and Business University , Beijing 100048 ,
  2. 2School of Economics and Management and Research Center for Contemporary Management, Tsinghua University , Beijing 100084 ,
Open at sourcePDFDOICite

Related

  1. Identifying Causal Effects in Experiments with Latent Treatments: An Instrumental Variable Approach
    Lukas Junker, Florian Pargent
    PsyArXivPreprintCC BY 4.0Full textStatisticsOSF
  2. A Multi‐Task Learning Approach for Identifying Prognostic Variables Across Multiple Historical Clinical Trials
    Xueying Liu, Huijing Jiang, Jennie Zhang +1
    Statistics in medicinePeer-reviewedCC BY-NC-NDFull textStatisticsEurope PMC
  3. Design-based effect sizes and their synthesis in randomized multiple-baseline experiments
    Xinyuan Chen, Zhigao Liang
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  4. Identifying and mitigating bias in multiple aspects of modern clinical research
    Geerthy Thambiraj, Antonis A. Armoundas
    Communications MedicinePeer-reviewedCC BY-NC-NDFull text8 citedStatisticsOpenAlex
  5. Identifying compromise solutions across multiple treatment benefit-harm profiles in multivariate network meta-analysis
    Theodoros Evrenoglou, Anna Chaimani, Gerta Rücker +1
    arXivPreprintCC BY 4.0Full textStatisticsarXiv

Cite

BibTeXRIS
BibTeX
@article{wu2026promises,
  title = {{The promises of multiple experiments: identifying joint distribution of potential outcomes}},
  author = {Peng Wu and Xiaojie Mao},
  journal = {Journal of the Royal Statistical Society Series B (Statistical Methodology)},
  year = {2026},
  month = jul,
  doi = {10.1093/jrsssb/qkag118},
  url = {https://arxiv.org/abs/2504.20470},
}
RIS
TY  - JOUR
TI  - The promises of multiple experiments: identifying joint distribution of potential outcomes
AU  - Peng Wu
AU  - Xiaojie Mao
PY  - 2026
DA  - 2026/07/22
JO  - Journal of the Royal Statistical Society Series B (Statistical Methodology)
DO  - 10.1093/jrsssb/qkag118
UR  - https://arxiv.org/abs/2504.20470
SN  - 1369-7412
SN  - 1467-9868
ER  -