References in zbMATH (referenced in 37 articles , 1 standard article )

Showing results 1 to 20 of 37.
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  1. Nattino, Giovanni; Lu, Bo; Shi, Junxin; Lemeshow, Stanley; Xiang, Henry: Triplet matching for estimating causal effects with three treatment arms: a comparative study of mortality by trauma center level (2021)
  2. Hirschauer, Norbert; Grüner, Sven; Mußhoff, Oliver; Becker, Claudia; Jantsch, Antje: Can (p)-values be meaningfully interpreted without random sampling? (2020)
  3. Karmakar, Bikram; Small, Dylan S.: Assessment of the extent of corroboration of an elaborate theory of a causal hypothesis using partial conjunctions of evidence factors (2020)
  4. Knaeble, Brian; Osting, Braxton; Abramson, Mark A.: Regression analysis of unmeasured confounding (2020)
  5. Thorvaldsen, Steinar; Hössjer, Ola: Using statistical methods to model the fine-tuning of molecular machines and systems (2020)
  6. Yu, Ruoqi; Silber, Jeffrey H.; Rosenbaum, Paul R.: Matching methods for observational studies derived from large administrative databases (2020)
  7. Almohisen, Amal; Henderson, Robin; Alshingiti, Arwa M.: An alternative sensitivity approach for longitudinal analysis with dropout (2019)
  8. Fogarty, Colin B.; Hasegawa, Raiden B.: Extended sensitivity analysis for heterogeneous unmeasured confounding with an application to sibling studies of returns to education (2019)
  9. Gagnon-Bartsch, Johann; Shem-Tov, Yotam: The classification permutation test: a flexible approach to testing for covariate imbalance in observational studies (2019)
  10. Ding, Peng; Keele, Luke: Rank tests in unmatched clustered randomized trials applied to a study of teacher training (2018)
  11. Ding, Peng; Li, Fan: Causal inference: a missing data perspective (2018)
  12. Gustafson, Paul; McCandless, Lawrence C.: When is a sensitivity parameter exactly that? (2018)
  13. Karmakar, Bikram; Heller, Ruth; Small, Dylan S.: False discovery rate control for effect modification in observational studies (2018)
  14. Keele, Luke; Sharoky, Catherine E.; Sellers, Morgan M.; Wirtalla, Chris J.; Kelz, Rachel R.: An instrumental variables design for the effect of emergency general surgery (2018)
  15. Pimentel, Samuel D.; Page, Lindsay C.; Lenard, Matthew; Keele, Luke: Optimal multilevel matching using network flows: an application to a summer reading intervention (2018)
  16. Sharma, Amit; Hofman, Jake M.; Watts, Duncan J.: Split-door criterion: identification of causal effects through auxiliary outcomes (2018)
  17. Small, Dylan S.; Tan, Zhiqiang; Ramsahai, Roland R.; Lorch, Scott A.; Brookhart, M. Alan: Instrumental variable estimation with a stochastic monotonicity assumption (2017)
  18. Zhu, Ruoqing; Zhao, Ying-Qi; Chen, Guanhua; Ma, Shuangge; Zhao, Hongyu: Greedy outcome weighted tree learning of optimal personalized treatment rules (2017)
  19. Gilbert, Peter B.; Huang, Ying: Predicting overall vaccine efficacy in a new setting by re-calibrating baseline covariate and intermediate response endpoint effect modifiers of type-specific vaccine efficacy (2016)
  20. Kang, Hyunseung; Kreuels, Benno; May, Jürgen; Small, Dylan S.: Full matching approach to instrumental variables estimation with application to the effect of malaria on stunting (2016)

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