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Peer-reviewedLicence not statedStatistics in Medicine

Global Sensitivity Analysis for Studies Extending Inferences From a Randomized Trial to a Target Population

  • Issa J Dahabreh1,2,3
  • James M. Robins1,2,3
  • Sebastien Haneuse2,3
  • Sarah E. Robertson1,3
  • Jon Arni Steingrimsson4
  • Miguel Ángel Hernán1,2,3
4 affiliations
  1. 1CAUSALab Harvard T.H. Chan School of Public Health Boston Massachusetts USA
  2. 2Department of Biostatistics Harvard T.H. Chan School of Public Health Boston Massachusetts USA
  3. 3Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts USA
  4. 4Department of Biostatistics School of Public Health, Brown University Providence Rhode Island USA
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Cite

BibTeXRIS
BibTeX
@article{dahabreh2026global,
  title = {{Global Sensitivity Analysis for Studies Extending Inferences From a Randomized Trial to a Target Population}},
  author = {Issa J Dahabreh and James M. Robins and Sebastien Haneuse and Sarah E. Robertson and Jon Arni Steingrimsson and Miguel Ángel Hernán},
  journal = {Statistics in Medicine},
  year = {2026},
  month = jun,
  doi = {10.1002/sim.70083},
  url = {http://arxiv.org/abs/2207.09982},
}
RIS
TY  - JOUR
TI  - Global Sensitivity Analysis for Studies Extending Inferences From a Randomized Trial to a Target Population
AU  - Issa J Dahabreh
AU  - James M. Robins
AU  - Sebastien Haneuse
AU  - Sarah E. Robertson
AU  - Jon Arni Steingrimsson
AU  - Miguel Ángel Hernán
PY  - 2026
DA  - 2026/06/01
JO  - Statistics in Medicine
DO  - 10.1002/sim.70083
UR  - http://arxiv.org/abs/2207.09982
SN  - 0277-6715
SN  - 1097-0258
ER  -