review · Nephrology Dialysis Transplantation · 2012
Instrumental variable analysis
Vianda S Stel, Friedo W. Dekker, Carmine Zoccali, Kitty J. Jager
Cited by 32Open access
Abstract
The main advantage of the randomized controlled trial (RCT) is the random assignment of treatment that prevents selection by prognosis. Nevertheless, only few RCTs can be performed given their high cost and the difficulties in conducting such studies. Therefore, several analytical methods for removing the effects of selection bias in observational studies have been proposed. The first aim of this paper is to compare three of those methods: the multivariable risk adjustment method, the propensity score risk adjustment method, and the instrumental variable method. The second aim is to compare the results from observational studies using the instrumental variable method with those from RCTs aiming to answer the same study question.
Cite this paper
Stel, V. S., Dekker, F. W., Zoccali, C., & Jager, K. J. (2012). Instrumental variable analysis. Nephrology Dialysis Transplantation, 28(7), 1694–1699. https://doi.org/10.1093/ndt/gfs310
Stel, Vianda S, et al. “Instrumental variable analysis.” Nephrology Dialysis Transplantation, vol. 28, no. 7, 2012, pp. 1694–99, https://doi.org/10.1093/ndt/gfs310.
Stel, Vianda S, Friedo W. Dekker, Carmine Zoccali, and Kitty J. Jager. 2012. “Instrumental variable analysis.” Nephrology Dialysis Transplantation 28 (7): 1694–99. https://doi.org/10.1093/ndt/gfs310.
Stel, V.S. et al. (2012) ‘Instrumental variable analysis’, Nephrology Dialysis Transplantation, 28(7), pp. 1694–1699. Available at: https://doi.org/10.1093/ndt/gfs310.
@article{stel2012instrumental,
title = {{Instrumental variable analysis}},
author = {Stel, Vianda S and Dekker, Friedo W. and Zoccali, Carmine and Jager, Kitty J.},
journal = {Nephrology Dialysis Transplantation},
volume = {28},
number = {7},
pages = {1694--1699},
year = {2012},
doi = {10.1093/ndt/gfs310}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.