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Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods

(2017) American Journal of Epidemiology. 187(5). p.1085-1092
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Epidemiology

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Citation

Please use this url to cite or link to this publication:

Chicago
Keogh, Ruth H, Rhian M Daniel, Tyler J VanderWeele, and Stijn Vansteelandt. 2017. “Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods.” American Journal of Epidemiology 187 (5): 1085–1092.
APA
Keogh, R. H., Daniel, R. M., VanderWeele, T. J., & Vansteelandt, S. (2017). Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods. American Journal of Epidemiology, 187(5), 1085–1092.
Vancouver
1.
Keogh RH, Daniel RM, VanderWeele TJ, Vansteelandt S. Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods. American Journal of Epidemiology. Oxford University Press (OUP); 2017;187(5):1085–92.
MLA
Keogh, Ruth H, Rhian M Daniel, Tyler J VanderWeele, et al. “Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods.” American Journal of Epidemiology 187.5 (2017): 1085–1092. Print.
@article{8591112,
  author       = {Keogh, Ruth H and Daniel, Rhian M and VanderWeele, Tyler J and Vansteelandt, Stijn},
  issn         = {0002-9262},
  journal      = {American Journal of Epidemiology},
  number       = {5},
  pages        = {1085--1092},
  publisher    = {Oxford University Press (OUP)},
  title        = {Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods},
  url          = {http://dx.doi.org/10.1093/aje/kwx311},
  volume       = {187},
  year         = {2017},
}

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