@article{11180,
  keywords = {Humans, *Practice Patterns, Physicians'/statistics & numerical data, *Confounding Factors, Epidemiologic, Bias, Linear Models, Least-Squares Analysis, United Kingdom, Computer Simulation, instrumental variables, noncollapsibility, physician's prescribing preferences, two-stage prediction substitution, two-stage residual inclusion, unmeasured confounding},
  author = {L. Zhang and J. Lewsey},
  title = {Comparing the performance of two-stage residual inclusion methods when using physician's prescribing preference as an instrumental variable: unmeasured confounding and noncollapsibility},
  year = {2024},
  journal = {J Comp Eff Res},
  volume = {13},
  edition = {2024/04/03},
  number = {5},
  pages = {e230085},
  isbn = {2042-6305 (Print)2042-6305},
  doi = {10.57264/cer-2023-0085},
  note = {2042-6313
Zhang, Lisong
Orcid: 0000-0002-0289-2933
Lewsey, Jim
Orcid: 0000-0003-3550-1764
Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
England
J Comp Eff Res. 2024 May;13(5):e230085. doi: 10.57264/cer-2023-0085. Epub 2024 Apr 3.},
  language = {eng},
}