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Nicholas C Chesnaye, Vianda S Stel, Giovanni Luigi Tripepi, Friedo Wilhelm Dekker, Edouard L. Fu, Carmine Zoccali, Kitty J. Jager
In this article we introduce the concept of inverse probability of treatment weighting (IPTW) and describe how this method can be applied to adjust for measured confounding in observational research, illustrated by a clinical example from nephrology. IPTW involves two main steps. First, the probability-or propensity-of being exposed to the risk factor or intervention of interest is calculated, given an individual's characteristics (i.e. propensity score). Second, weights are calculated as the inverse of the propensity score. The application of these weights to the study population creates a pseudopopulation in which confounders are equally distributed across exposed and unexposed groups. We also elaborate on how weighting can be applied in longitudinal studies to deal with informative censoring and time-dependent confounding in the setting of treatment-confounder feedback.
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Chesnaye, N. C., Stel, V. S., Tripepi, G. L., Dekker, F. W., Fu, E. L., Zoccali, C., & Jager, K. J. (2021). An introduction to inverse probability of treatment weighting in observational research. Clinical Kidney Journal, 15(1), 14–20. https://doi.org/10.1093/ckj/sfab158
Chesnaye, Nicholas C, et al. "An introduction to inverse probability of treatment weighting in observational research." Clinical Kidney Journal, vol. 15, no. 1, 2021, pp. 14–20, https://doi.org/10.1093/ckj/sfab158.
Chesnaye, Nicholas C, Vianda S Stel, Giovanni Luigi Tripepi, Friedo Wilhelm Dekker, Edouard L. Fu, Carmine Zoccali, and Kitty J. Jager. "An introduction to inverse probability of treatment weighting in observational research." Clinical Kidney Journal 15, no. 1 (2021): 14–20. https://doi.org/10.1093/ckj/sfab158.
Chesnaye N. C., Stel V. S., Tripepi G. L. [и др.] An introduction to inverse probability of treatment weighting in observational research // Clinical Kidney Journal. — 2021. — Vol. 15, № 1. — P. 14–20. — URL: https://doi.org/10.1093/ckj/sfab158
@article{chesnaye2021introduction,
title = {{An introduction to inverse probability of treatment weighting in observational research}},
author = {Nicholas C Chesnaye and Vianda S Stel and Giovanni Luigi Tripepi and Friedo Wilhelm Dekker and Edouard L. Fu and Carmine Zoccali and Kitty J. Jager},
journal = {Clinical Kidney Journal},
year = {2021},
volume = {15},
number = {1},
pages = {14--20},
doi = {10.1093/ckj/sfab158},
url = {https://doi.org/10.1093/ckj/sfab158}
}TY - JOUR AU - Chesnaye, Nicholas C AU - Stel, Vianda S AU - Tripepi, Giovanni Luigi AU - Dekker, Friedo Wilhelm AU - Fu, Edouard L. AU - Zoccali, Carmine AU - Jager, Kitty J. TI - An introduction to inverse probability of treatment weighting in observational research JO - Clinical Kidney Journal VL - 15 IS - 1 SP - 14 EP - 20 PY - 2021 DA - 2021/08/26 DO - 10.1093/ckj/sfab158 UR - https://doi.org/10.1093/ckj/sfab158 ER -
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